Jobs For Faculty Of Science Graduates in Oman

<p>Plan, prepare, and deliver high-quality Science lessons in accordance with the approved curriculum. Develop lesson plans that meet curriculum objectives and address students' diverse learning needs. Deliver engaging theoretical and practical Science lessons using a variety of effective teaching strategies. Plan and conduct laboratory experiments while ensuring compliance with health and safety regulations. Prepare, administer, and mark assignments, quizzes, tests, practical assessments, and examinations. Monitor, assess, and evaluate students' academic progress, providing timely and constructive feedback. Maintain accurate records of student attendance, achievement, and assessment results. Create a positive, inclusive, and stimulating learning environment that encourages scientific inquiry and critical thinking. Integrate educational technology and digital resources to enhance teaching and learning. Participate in departmental meetings, school events, extracurricular activities, and professional development programs. Communicate effectively with parents regarding students' academic progress and well-being when required. Collaborate with colleagues to support curriculum development and continuous school improvement. Comply with all school policies, safeguarding requirements, health and safety regulations, and professional standards. Required Skills Excellent English communication skills, both written and spoken. Strong classroom management skills. Excellent knowledge of scientific concepts and practical laboratory skills. Strong planning, organizational, and time management skills. Ability to explain scientific concepts clearly and effectively. Proficiency in Microsoft Office, Google Workspace, and educational technology platforms. Strong analytical, problem-solving, and critical-thinking skills. Ability to work collaboratively within a multicultural environment. Preferred Skills Familiarity with the Cambridge International Curriculum. Experience teaching Science at the Primary, Lower Secondary, or IGCSE level. Experience using Learning Management Systems (LMS) such as Google Classroom or Microsoft Teams. Ability to implement inquiry-based and student-centered learning approaches. Preferred Certifications Valid teaching license (where applicable). Cambridge Professional Development training or certification. Safeguarding and Child Protection certification.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Academic Qualifications</strong> Bachelor's degree in Science or a related field such as Biology, Chemistry, Physics, General Science, or Education (Science). A recognized teaching qualification such as a Bachelor of Education (B.Ed.), PGCE, Postgraduate Diploma in Education, or an equivalent teaching certification is preferred. A Master's degree in the relevant subject or Education is an advantage.</p><p><strong>Experience</strong> A minimum of three (3) years of teaching experience. Experience teaching the Cambridge International Curriculum or another recognized international curriculum is preferred. Experience preparing students for national or international examinations is an advantage.</p>

<p>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p><p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p><p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p><p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p><p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p><p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p><p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p><p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p><p>Key Responsibilities</p><ul><li>Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li><li>Ensure all necessary content and material is in place for the degree programmes in time.</li><li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li><li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li><li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li><li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li><li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li><li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li><li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li><li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li><li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li><li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li><li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li><li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li></ul><p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager. While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. * The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications, Experience &amp; Competencies:</h2><p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p><ul><li><strong>Educational Qualifications:</strong> A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</li><li><strong>Specialization Areas:</strong> Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</li><li><strong>Teaching Experience:</strong> Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</li><li><strong>Research Engagement:</strong> Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</li><li><strong>Industry Experience:</strong> Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</li><li><strong>Practical Skills:</strong> Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</li><li><strong>Professional Development:</strong> Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</li><li><strong>Community Participation:</strong> Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</li></ul><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p>

<div> <div> <p> <b>Job<br>Description Faculty<br>Administrator</b> </p> <p> <b>Reporting to</b>: Dean/Director of Academic Faculty</p> <p> <b>Summary:</b> </p> <p>The Faculty<br>Administrator at the Academic Faculties in Muscat University is<br>expected to perform administrative tasks to support the academic faculties in<br>planning, coordinating, and implementing activities. The<br>position requires collaboration with staff, students, and the industry, and responding to work requests from other<br>departments in a timely and accurate manner. </p> <p> <b>Duties<br>&amp; Responsibilities </b> </p> <p>1. <br>Prepare, maintain, and distribute meeting materials,<br>business presentations, and other department files, and ensure quality<br>documentation is available.</p> <p>2. <br>Ensure that the website and the quality management system<br>portal of the department are up to date.</p> <p>3. <br>Support the organisation of field trips and other faculty-related<br>special events like job fairs, promotion events, information sessions, student<br>inductions, etc.</p> <p>4. <br>Assist in budget preparation, procurement, and other<br>expense management activities.</p> <p>5. <br>Perform data collection for quality assurance and other<br>external bodies.</p> <p>6. Provide first-level support in advising by providing<br>required documents, guidelines, and setting appointments between advisers and<br>students at risk.</p> <p>7. Manage<br>day-to-day administrative operations of the faculty, including documentation,<br>scheduling, and internal communication.</p> <p>8. Assist<br>the Dean, Assistant Dean, and academic staff in coordinating teaching<br>schedules, examinations, meetings, and faculty activities.</p> <p>9. Act<br>as a point of contact for students, faculty members, and external stakeholders<br>regarding administrative matters.</p> <p>10. Maintain<br>accurate records of faculty operational plan, activities, reports,<br>correspondence, and academic documentation.</p> <p>11. Organize<br>faculty meetings, workshops, seminars, and academic events, including<br>preparation of agendas and minutes.</p> <p>12. Support<br>the preparation of reports and ensure compliance with university policies,<br>accreditation requirements, and regulatory bodies.</p> <p>13. Coordinate<br>with other university departments such as HR, Registry, Finance, and IT to<br>facilitate faculty operations.</p> <p> <b>Qualifications for Department<br>Coordinator</b> </p> <ul> <li>Bachelor s degree in a<br>related field.</li> <li>Works independently and with minimum supervision</li> <li>Trustworthy and can handle confidential<br>documents </li> <li>Excellent communication skills in English and<br>Arabic</li> <li>Proficient in the use of Microsoft Office. </li> </ul> <p> <b>Skills and Competencies</b> </p> <ul> <li>Excellent organizational, administrative, and<br> time-management skills.</li> <li>Strong communication and interpersonal skills in<br> English and Arabic.</li> <li>Proficient in Microsoft Office applications.</li> <li>Strong attention to detail and accuracy in<br> documentation and record keeping.</li> <li>Ability to work independently and manage multiple<br> priorities.</li> <li>Strong coordination and event-management skills.</li> <li>Ability to handle confidential information with<br> integrity and discretion.</li> <li>Good data management, reporting, and<br> problem-solving skills.</li> <li>Ability to work effectively with students, staff,<br> university departments, and external stakeholders.</li> <li>Professional, proactive, reliable, and<br> service-oriented.</li> </ul> <p> </p> <p> </p> </div> <p> <br> </p> </div> <div> <div></div></div>

<p>The Livestock Husbandry Officer is responsible for planning, implementing, monitoring, and improving livestock production systems with a focus on animal nutrition, fodder production, herd health management, milk production, meat production, animal welfare, and farm productivity. The position supports the development of sustainable and climate-resilient livestock systems in Oman while ensuring compliance with national veterinary, food safety, and biosecurity regulations. The position ensures data collection and reporting by maintaining livestock production databases and farm records, analyzing production, health, and economic performance indicators, preparing technical reports, progress reports, and recommendations, supporting livestock sector assessments and feasibility studies and contributing to national livestock development initiatives and projects.</p><p><strong>ENGAGEMENT</strong></p><ul><li>Coordinate stakeholder engagement with government agencies, private-sector actors, financial institutions, and development partners to ensure coordinated delivery and alignment with national priorities.</li><li>Foster coherent collaboration across program staff and stakeholders to ensure complementarity, transparency, and efficient joint implementation.</li><li>Promote a team culture aligned with GGGI s values of Trust, Transparency, Respect, and Partnership.</li><li>Report directly to the Chief of Party on livestock husbandry-related activities and coordination with other workstreams.</li><li>Represent the program in meetings, workshops, and calls as delegated, ensuring effective follow-up and timely documentation.</li></ul><p><strong>DELIVERY</strong></p><ul><li><strong>Livestock Production Management:</strong> Provide technical support for cattle, camel, and small ruminant production systems; monitor herd performance indicators (growth, mortality, reproduction, milk yield, and meat efficiency); and assist stakeholders in adopting improved breeds and production technologies.</li><li><strong>Feed, Nutrition, and Fodder Management:</strong> Formulate balanced, cost-effective rations and introduce alternative, climate-smart feed resources and conservation techniques (silage and hay) suited for arid environments. Assess fodder availability to develop sustainable production plans including Rhodes grass, Alfalfa, Sorghum, Maize silage, and hydroponics that reduce reliance on imported feed while optimizing water management.</li><li><strong>Animal Health, Biosecurity and Dairy/Meat Development:</strong> Partner with veterinary teams to implement disease prevention, vaccination, and biosecurity protocols while ensuring compliance with Omani notifiable disease reporting and antimicrobial stewardship. Monitor dairy/meat performance to improve milk hygiene, mastitis control, fattening programs, and carcass quality.</li><li><strong>Capacity Building and Extension Services:</strong> Deliver targeted training manuals, guidelines, and climate-smart livestock extension programs for farmers, cooperatives, and local personnel, with a specific focus on mainstreaming women and youth participation across livestock value chains.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in: Animal Science, Animal Production, Livestock Production, Veterinary Science, Agricultural Science (Livestock Specialization)</li><li>Preferred: Master's degree in animal nutrition, ruminant production, dairy science, veterinary public health, or related field.</li><li>6-8 years of relevant experience in livestock production, husbandry, and farm management</li><li>Proven practical experience in dairy and/or meat production systems, feed formulation, and fodder production under arid or semi-arid environments.</li><li>Familiarity of animal health management and biosecurity practices, and smallholder/commercial livestock operations</li><li>Experience in arid and semi-arid environments.</li><li>Experience in GCC countries, particularly Oman.</li><li>Experience in donor-funded agricultural development projects.</li><li>Fluency in English (written and spoken) is required. Knowledge of Arabic is an asset.</li></ul><p><strong>FUNCTIONAL</strong></p><ul><li>Strong ability to interpret, outline and implement guidelines, policies, and procedures effectively.</li><li>Excellent interpersonal skills to manage diverse stakeholder needs and foster collaboration.</li><li>Strategic thinker with capacity for joint problem-solving and decision-making.</li><li>Highly organized, detail-oriented, and able to prioritize under time constraints.</li><li>Demonstrates creativity, innovation, flexibility, and entrepreneurial mindset in achieving outputs.</li><li>Comfortable working independently and within a team environment.</li><li>Excellent interpersonal and facilitation skills, capable of translating complex concepts around bioeconomy to a wider audience.</li><li>Proven experience in mainstreaming safeguards, gender, poverty reduction, and social inclusion in project delivery.</li></ul><p><strong>CORPORATE</strong></p><ul><li>Understand and actively support GGGI's mission, vision and values.</li><li>Promote an organizational culture of trust, transparency, respect and partnership.</li><li>Excel at problem solving, ask questions and seek support when needed, easily share information and knowledge with others both internally as externally.</li><li>Manage emotions and stress positively, build rapport and resolve conflict easily.</li><li>Strong ability to work independently and/or remotely, while maintaining productivity.</li><li>Be able to lead and manage a program workstream independently, while knowing when to seek advice and liaise closely with the relevant GGGI structures.</li></ul>

<p>Conduct routine plant rounds and inspect assigned process areas. Support system walk-downs, punch-list clearance and mechanical completion activities. Participate in flushing, blowing, loop checking, leak testing and functional testing during commissioning. Perform equipment and process line-ups according to approved operating procedures. Operate field equipment associated with the reduction shaft/reactor, process gas circuit, Process Gas Heater and material-handling systems. Start and stop pumps, fans and other auxiliaries as instructed by the control room. Monitor equipment for leaks, unusual vibration, noise, temperature or other abnormalities. Read local gauges and instruments and communicate field readings to the Panel Operator. Assist during plant start-up, stabilization and shutdown activities. Support equipment isolation and reinstatement in coordination with operations and maintenance. Maintain field logbooks and operating checklists. Follow strict safety precautions when working around natural gas, hydrogen-rich reducing gas and carbon monoxide. Immediately report unsafe conditions, gas leaks, equipment abnormalities and process deviations. Maintain good housekeeping and operational discipline throughout assigned areas.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Science or Diploma in Chemical Engineering or equivalent.</li><li>Minimum 1 year of relevant experience for degree holders or 4 years for diploma holders.</li><li>At least 1 year as a Shift Field Operator in an industrial process plant.</li><li>Experience in HYL/Energiron DRI, Midrex DRI, fertilizer, petrochemical or similar gas-based process plants is preferred.</li><li>Basic understanding of DRI processes, PGH, natural-gas handling and water-treatment systems.</li><li>Ability to understand P&amp;IDs, equipment identification and operating procedures.</li><li>Knowledge of industrial safety, PTW and LOTO practices.</li></ul>

<p>Participate in mechanical completion inspections, system walk-downs and punch-list identification/closure. Verify equipment and piping installation against approved P&amp;IDs and operating requirements. Support flushing, blowing, hydrotesting, gas leak testing, line checking and equipment functional testing. Participate in commissioning and start-up of gas circuits, process equipment, CO removal systems and associated utilities. Perform field line-ups and equipment preparation for plant start-up, shutdown and maintenance. Operate and inspect field equipment including valves, pumps, compressors, heaters, material-handling systems and associated auxiliaries. Monitor field conditions for abnormal temperature, pressure, vibration, leakage, noise or equipment behaviour. Coordinate field actions with the Panel Operator and Shift In-Charge. Guide and supervise Field Operators during routine and non-routine operational activities. Support equipment isolation and de-isolation under approved PTW and LOTO procedures. Respond effectively to gas leaks, trips, equipment failures and other operational emergencies. Maintain accurate field logs and report abnormalities promptly. Ensure safe handling of natural gas, reducing gases, hydrogen-rich gas and carbon monoxide environments. Contribute to improving operating procedures and field checklists based on commissioning and operating experience.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Chemical/Science or Diploma in Chemical Engineering or equivalent.</li><li>Minimum 5 years' experience for degree holders or 8 years for diploma holders.</li><li>Minimum 2 years as a Senior Field Operator or equivalent.</li><li>Hands-on experience in Tenova HYL/Energiron or Midrex DRI operations.</li><li>Experience in commissioning/start-up of a DRI plant will be a strong advantage.</li><li>Good knowledge of process gas systems, CO removal, PGH, natural-gas systems and plant utilities.</li><li>Strong understanding of PTW, LOTO and gas-safety practices.</li></ul>

<p>Lead and coordinate all DRI plant activities during the assigned shift. Participate in project execution, equipment installation verification, system walk-downs, punch-list clearance and mechanical completion. Review P&amp;IDs, process flow diagrams, operating philosophies, equipment specifications and control narratives. Support pre-commissioning and commissioning activities including flushing, blowing, hydrotesting, leak testing, loop checking and equipment trials. Lead plant start-up, stabilization, normal operation and planned/emergency shutdown activities. Monitor and optimize major process areas including the reduction reactor/shaft furnace, Process Gas Heater (PGH), process gas circuit, CO removal system, natural-gas system, water-treatment facilities and associated utilities. Ensure process parameters remain within operating limits to achieve required DRI/HBI quality and production targets. Coordinate closely with panel operators, field operators, maintenance, electrical, instrumentation, laboratory and other supporting functions. Identify process deviations and equipment abnormalities and lead first-line troubleshooting. Ensure strict compliance with Permit to Work, LOTO, confined-space, gas-safety and other HSE procedures. Maintain accurate shift logs, production reports, abnormality reports and shift handover documentation. Develop and review SOPs, operating checklists and emergency operating procedures. Coach and supervise operators and ensure effective allocation of manpower during shifts. Support continuous improvement initiatives related to plant availability, productivity, energy efficiency and operational reliability.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Chemical Engineering/Science or Diploma in Chemical Engineering or equivalent. Minimum 8 years' relevant experience for degree holders or 12 years for diploma holders. At least 3 years' experience as a Shift Production Supervisor/Shift In-Charge in a DRI or comparable continuous-process facility. Strong preference for experience in Tenova HYL/Energiron and/or Midrex DRI plants. Previous greenfield, brownfield expansion, revamp or commissioning experience is highly desirable. Strong understanding of DRI process chemistry, reducing-gas systems, natural-gas handling, CO removal, water treatment and process utilities. Demonstrated leadership, troubleshooting and shift-management capabilities. Strong commitment to process safety and safe plant operation.</p>

<p>The Senior Panel Operator will be responsible for controlling and optimizing the DRI facility from the Central Control Room during commissioning, start-up, normal operation and shutdown. This is a critical control-room position requiring strong knowledge of DRI process behaviour, DCS operation, alarms, interlocks, process troubleshooting and emergency response. Key Responsibilities Operate and monitor the DRI plant through the PCS7 Distributed Control System (DCS). Participate in DCS/PLC loop checking, functional testing, interlock testing and Site Acceptance Testing. Monitor major process sections including the reactor/reduction shaft, PGH, process gas circuit, CO removal, HBI system and water-treatment facilities. Execute plant start-up, stabilization, normal-operation and shutdown sequences. Continuously monitor pressure, temperature, gas composition, flow, level and other critical process parameters. Maintain required DRI metallization, carbon content, production rate and product quality. Analyse trends and identify developing process abnormalities before they result in plant trips or production losses. Respond to alarms, trips and interlocks and take corrective action in accordance with approved operating procedures. Coordinate field actions with Senior Field Operators and Field Operators. Support emergency shutdown and plant recovery activities. Optimize consumption of natural gas, electricity, process gases, cooling water and other utilities. Maintain comprehensive control-room logs and shift reports. Support troubleshooting of recurring process and equipment problems. Coach Panel Operators and support their technical development. Work closely with Shift In-Charge, maintenance and instrumentation teams during breakdowns and plant interventions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Science or Diploma in Chemical Engineering or equivalent.</li><li>Minimum 4 years' relevant experience for degree holders or 8 years for diploma holders.</li><li>Minimum 4 years' experience as a Senior Panel Operator or equivalent control-room position.</li><li>Strong preference for candidates with Tenova HYL/Energiron DRI plant experience.</li><li>Strong knowledge of DRI plant start-up, shutdown and emergency operating procedures.</li><li>Hands-on experience with PCS7 or comparable modern DCS platforms.</li><li>Excellent understanding of process alarms, interlocks, trips, permissives and ESD philosophy.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description: EHS Senior EngineerRole<p><strong>EHS Senior Engineer</strong></p><br>Job Function<p><strong>Environment, Health &amp; Safety (EHS)</strong></p><br>Reporting To<p><strong>Project Manager</strong></p><br>Workplace Classification<p><strong>Site Based</strong></p><br>Role Summary<p>The EHS Senior Engineer is responsible for leading and implementing Environment, Health and Safety management systems across Power Transmission &amp; Distribution construction projects in Oman. The role ensures compliance with corporate EHS standards, client requirements, Omani regulations, and international best practices. The incumbent drives proactive risk management, promotes a strong safety culture, and supports the achievement of zero harm objectives through effective planning, monitoring, training, and continuous improvement initiatives.</p><br>Key Responsibilities<ul><li>Develop, implement, and monitor project-specific EHS plans, procedures, and risk control measures.</li><li>Ensure compliance with statutory requirements, client specifications, and company EHS management systems.</li><li>Conduct site inspections, audits, hazard identification, and risk assessments for transmission lines, substations, and associated construction activities.</li><li>Lead incident investigations, root cause analysis, and corrective action implementation.</li><li>Monitor contractor and subcontractor safety performance and ensure compliance with project EHS requirements.</li><li>Organize toolbox talks, safety campaigns, inductions, and awareness programs.</li><li>Review work permits, method statements, and job safety analyses before execution.</li><li>Track EHS performance indicators and prepare periodic reports for management and clients.</li><li>Coordinate emergency preparedness drills and ensure availability of emergency response resources.</li><li>Promote environmental protection measures including waste management, pollution prevention, and resource conservation.</li></ul>Key Interactions<p><strong>Internal:</strong> Project Manager, Construction Managers, Planning Engineers, QA/QC Team, HR, Procurement, and Site Supervisors to ensure safe project execution and compliance.</p><br><p><strong>External:</strong> Clients, Consultants, Government Authorities, Contractors, Subcontractors, and Auditors for regulatory compliance, inspections, reporting, and stakeholder coordination.</p><br>Knowledge &amp; Experience<p><strong>Minimum Qualifications:</strong>&nbsp;Diploma/Bachelor's Degree in Engineering or Science. NEBOSH IGC mandatory; additional HSE certifications preferred.</p><br><p><strong>Language Skills:</strong> Fluent in English; Arabic knowledge is advantageous.</p><br><p><strong>Experience:</strong> Minimum 8-12 years of EHS experience in construction projects, including at least 5 years in Power Transmission &amp; Distribution projects involving substations, overhead transmission lines, and electrical infrastructure.</p><br>Technical &amp; Behavioral Skills Required to Execute the Role<ul><li>Omani HSE regulations and international standards knowledge.</li><li>EHS auditing, incident investigation, and risk assessment expertise.</li><li>Construction safety management and permit-to-work systems.</li><li>Emergency response planning and crisis management.</li><li>Data analysis, reporting, and presentation skills.</li><li>Strong leadership, communication, influencing, and stakeholder management.</li><li>Problem-solving, decision-making, teamwork, and attention to detail.</li><li>Ability to work under pressure and manage multiple priorities effectively.</li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <span></span></span><p>We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.</p><br><b>Job Duties</b> <br>Under strict supervision, works directly with both fluids and equipment supervisors and technical professionals to gain a better understanding of rig operations, company products and services, fluids, separation, and waste management technologies. Completes formal training program in fluids chemistry, volume and hydraulics calculations, routine and specialized testing, separation equipment theory and application, and learns to provide well site service to customers. Learns to operate, maintain and optimize Baroid equipment including testing, separation, and waste management equipment. Learns to adequately prepare and track inventory of palletized and bulk products and equipment spares at the rig site based on the drilling program and anticipated conditions. Assists with interpreting results of routine and specialized testing in order to provide technical solutions. Assists in the operation of some separation and waste management equipment and has knowledge of how such equipment affects overall fluid performance. Complies with health, safety and environment regulations in all aspects of job performance. Performs in a professional manner as a Halliburton representative with clients. Learns how to maintain good working relationships with operator&amp;aposs representative and rig personnel. No previous work experience is required. Completion of a Bachelor&amp;aposs Degree in STEM (Science, Technology, Engineering and Mathematics) or other related Bachelor&amp;aposs Degree program is required. This is an entry level position.<br><br><b>Qualifications</b> <br><br><br><p><strong>Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation</strong>.</p><br> <p><strong><u>Location</u></strong></p><br> <p>Str 2316, Bdg 65, Assarain Bdg,&nbsp;Muscat,&nbsp;Muscat,&nbsp;, Oman</p><br> <p><strong><u>Job Details</u></strong></p><br> <p><strong>Requisition Number:</strong>&nbsp;210947&nbsp;&nbsp;<br><strong>Experience Level:&nbsp;</strong>Entry-Level&nbsp;<br><strong>Job Family:</strong>&nbsp;Operations&nbsp;<br><strong>Product Service Line:&nbsp;</strong>Baroid&nbsp;&nbsp;&nbsp;<br><strong>Full Time / Part Time:&nbsp;</strong>Full Time</p><br> <p><strong>Additional Locations for this position:&nbsp;</strong></p><br> <p><u><strong>Compensation Information</strong></u><br>Compensation is competitive and commensurate with experience.</p><br> </div>

<p><strong>Job Title:</strong> Graduate Teaching Assistant (GTA) Faculty of Science and Technology (Specializations: Computer Science, Information Technology, Artificial Intelligence, Cybersecurity, Data Science, Software Engineering)</p><p><strong>Job Summary:</strong> This is a teaching support-focused position to assist in the delivery of undergraduate, practical-based programmes within the Faculty of Science and Technology. Applicants should demonstrate strong academic ability and an interest in teaching and student support.</p><p>The successful candidate is expected to:</p><ul><li><strong>Support Teaching Activities:</strong> Assist in delivering tutorials, laboratory sessions, and workshops across computing-related modules.</li><li><strong>Assist in Practical Sessions:</strong> Provide hands-on support during labs and technical sessions to ensure students understand key concepts and tools.</li><li><strong>Support Student Learning:</strong> Guide students in understanding technical concepts such as programming, systems, data handling, and security principles.</li><li><strong>Assist in Assessment:</strong> Support marking of assignments, quizzes, and coursework under supervision, ensuring timely and constructive feedback.</li><li><strong>Prepare Learning Materials:</strong> Assist in preparing teaching resources, presentations, and lab materials.</li><li><strong>Support Academic Delivery:</strong> Help ensure smooth delivery of modules by coordinating with lecturers and technical staff.</li><li><strong>Engage in Academic Development:</strong> Develop teaching and technical expertise while contributing to a high-quality learning environment.</li><li><strong>Administrative Support:</strong> Assist with attendance tracking, documentation, and coordination of academic activities.</li></ul><p><strong>Requirements:</strong> The faculty invites applications from suitable candidates for GTA positions. The role requires:</p><ul><li><strong>Educational Qualifications:</strong> A Bachelor or Master degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, or a related field.</li><li><strong>Subject Knowledge:</strong> Knowledge in one or more of the following:<ul><li>Computer Science (Programming, Software Development, Algorithms)</li><li>Information Technology (Systems, Networking, IT Support)</li><li>Artificial Intelligence / Machine Learning</li><li>Data Science / Data Analytics</li><li>Cybersecurity / Network Security / Digital Forensics</li></ul></li><li><strong>Academic Performance:</strong> Good academic standing with a strong GPA.</li><li><strong>Technical Skills:</strong><ul><li>Programming (e.g., Python, Java, C#, or similar)</li><li>Databases (e.g., SQL, MySQL)</li><li>Basic networking and cybersecurity concepts</li><li>Data analysis tools (e.g., Excel, Python libraries)</li></ul></li><li><strong>Teaching Interest:</strong> Demonstrated interest in teaching, mentoring, or academic support.</li><li><strong>Technical Skills:</strong> Practical computing skills relevant to the discipline.</li><li><strong>Communication Skills:</strong> Ability to explain concepts clearly and effectively to students.</li><li><strong>Teamwork:</strong> Ability to work collaboratively with faculty members and students.</li><li><strong>Adaptability:</strong> Willingness to learn and support different modules as required.</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Support tutorials, labs, and workshops across Computer Science and IT-related modules.</li><li>Assist students with programming, databases, networking, and technical problem-solving.</li><li>Help students understand key concepts such as algorithms, system design, data processing, and cybersecurity principles.</li><li>Assist in preparing lab environments, datasets, and technical resources.</li><li>Support marking of assignments, coding tasks, and lab reports under supervision.</li><li>Ensure smooth operation of lab sessions and troubleshoot basic technical issues.</li><li>Support online learning platforms (e.g., LMS, Microsoft Teams).</li><li>Monitor student attendance, participation, and engagement.</li><li>Liaise with lecturers and technical staff for effective module delivery.</li><li>Assist in supervising student projects where required.</li><li>Maintain academic integrity and professional conduct.</li></ul><p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University While we value the interest shown by every applicant, we are able to respond only to short-listed candidates.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Educational Qualifications:</strong> A Bachelor or Master degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, or a related field.</li><li><strong>Subject Knowledge:</strong> Knowledge in one or more of the following:<ul><li>Computer Science (Programming, Software Development, Algorithms)</li><li>Information Technology (Systems, Networking, IT Support)</li><li>Artificial Intelligence / Machine Learning</li><li>Data Science / Data Analytics</li><li>Cybersecurity / Network Security / Digital Forensics</li></ul></li><li><strong>Academic Performance:</strong> Good academic standing with a strong GPA.</li><li><strong>Technical Skills:</strong><ul><li>Programming (e.g., Python, Java, C#, or similar)</li><li>Databases (e.g., SQL, MySQL)</li><li>Basic networking and cybersecurity concepts</li><li>Data analysis tools (e.g., Excel, Python libraries)</li></ul></li><li><strong>Teaching Interest:</strong> Demonstrated interest in teaching, mentoring, or academic support.</li><li><strong>Technical Skills:</strong> Practical computing skills relevant to the discipline.</li><li><strong>Communication Skills:</strong> Ability to explain concepts clearly and effectively to students.</li><li><strong>Teamwork:</strong> Ability to work collaboratively with faculty members and students.</li><li><strong>Adaptability:</strong> Willingness to learn and support different modules as required.</li></ul>

<p>Job Description</p> <p>1. Purpose of the Position</p> <p> </p> <p>This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes.</p> <p> </p> <p>Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p> <p> </p> <p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p> <p> </p> <p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p> <p> </p> <p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p> <p> </p> <p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p> <p> </p> <p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p> <p> </p> <p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p> <p> </p> <p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p> <p> </p> <p>Key Responsibilities</p> <p> </p> <p> Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</p> <p> </p> <p> Ensure all necessary content and material is in place for the degree programmes in time.</p> <p> </p> <p> Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</p> <p> </p> <p> Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</p> <p> </p> <p> Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</p> <p> </p> <p> Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</p> <p> </p> <p> Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</p> <p> </p> <p> Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</p> <p> </p> <p> Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</p> <p> </p> <p> Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</p> <p> </p> <p> Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</p> <p> </p> <p> Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</p> <p> </p> <p> Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</p> <p> </p> <p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications, Experience &amp; Competencies:</p> <p> </p> <p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p> <p> </p> <p>Educational Qualifications: A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</p> <p> </p> <p>Specialization Areas: Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</p> <p> </p> <p>Teaching Experience: Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</p> <p> </p> <p>Research Engagement: Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</p> <p> </p> <p>Industry Experience: Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</p> <p> </p> <p>Practical Skills: Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</p> <p> </p> <p>Professional Development: Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</p> <p> </p> <p>Community Participation: Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</p> <p> </p> <p>Priority in recruitment shall be given to Omani Candidates.</p>

<p> <strong>Role summary</strong> </p> <p>Measure how well AI models and features perform, build predictive models where classical machine learning fits better than an LLM, and turn usage data into decisions.</p> <p> </p> <p> <strong>Responsibilities</strong> </p> <p> Design evaluation methods and build test datadacodataasets: expected answers, edge cases, multilingual and adversarial prompts</p> <p> Run evaluations and score the results with automated metrics and LLM-as-judge, calibrated against human review</p> <p> Benchmark models on quality, latency and cost, and recommend which to use</p> <p> Analyse errors, including false positives and false negatives of safety and privacy filters</p> <p> Build and validate predictive and classification models on tabular, time-series and signal data</p> <p> Add evaluation tests to CI pipelines, so a regression blocks the releacompse</p> <p> Analyse usage, cost and quality data, and build reports and dashboards</p> <p> </p> <p> <strong>Technical requirements</strong> </p> <p> Degree in data science, statistics, computer science or a related field</p> <p> Python with pandas, NumPy and scikit-learn</p> <p> Statistics: precision, recall, confidence intervals, hypothesis testing</p> <p> SQL</p> <p> Git</p> <p> </p> <p> <strong>Nice to have</strong> </p> <p> More experience is a plus: professional years in data science or applied machine learning, and models used in production</p> <p> Experience evaluating NLP or LLM systems</p> <p> PyTorch or TensorFlow</p> <p> Time-series or signal-processing models</p> <p> LLM evaluation tools: Langfuse, Ragas, promptfoo</p> <p> Experiment tracking with MLflow or Weights &amp; Biases</p> <p> Experience mentoring other data scientists</p> <p> A second language, or a background in healthcare or another regulated domain</p> <p> </p> <p> </p><p><strong>Desired Candidate Profile</strong></p><p>Degree in data science, statistics, computer science or a related field</p> <p>Python with pandas, NumPy and scikit-learn</p> <p>Statistics: precision, recall, confidence intervals, hypothesis testing</p> <p>SQL</p> <p>Git</p>

<p>Job Description</p> <p> </p> <p>1. Purpose of the Position</p> <p> </p> <p>This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes.</p> <p> </p> <p>Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p> <p> </p> <p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p> <p> </p> <p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p> <p> </p> <p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p> <p> </p> <p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p> <p> </p> <p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p> <p> </p> <p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p> <p> </p> <p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p> <p> </p> <p>Key Responsibilities</p> <p> </p> <p> Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</p> <p> </p> <p> Ensure all necessary content and material is in place for the degree programmes in time.</p> <p> </p> <p> Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</p> <p> </p> <p> Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</p> <p> </p> <p> Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</p> <p> </p> <p> Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</p> <p> </p> <p> Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</p> <p> </p> <p> Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</p> <p> </p> <p> Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</p> <p> </p> <p> Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</p> <p> </p> <p> Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</p> <p> </p> <p> Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</p> <p> </p> <p> Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</p> <p> </p> <p> Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</p> <p> </p> <p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University.</p> <p> </p> <p>Any other duties as deemed necessary by the Line Manager.</p> <p> </p> <p>While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. </p> <p> </p> <p>* The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p> <p> </p> <p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications, Experience &amp; Competencies:</p> <p> </p> <p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p> <p> </p> <p>Educational Qualifications: A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</p> <p> </p> <p>Specialization Areas: Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</p> <p> </p> <p>Teaching Experience: Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</p> <p> </p> <p>Research Engagement: Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</p> <p> </p> <p>Industry Experience: Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</p> <p> </p> <p>Practical Skills: Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</p> <p> </p> <p>Professional Development: Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</p> <p> </p> <p>Community Participation: Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</p> <p> </p> <p>Priority in recruitment shall be given to Omani Candidates.</p>

<p>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:<br>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).<br>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.<br>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.<br>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.<br>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.<br>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.<br>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p> <ul> <li>Key Responsibilities Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li> <li>Ensure all necessary content and material is in place for the degree programmes in time.</li> <li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li> <li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li> <li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li> <li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li> <li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li> <li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li> <li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li> <li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li> <li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li> <li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li> <li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li> <li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li> </ul> <p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager.<br>While we value the interest shown by every applicant, we are able to respond only to short-listed candidates.<br></p><p><strong>Desired Candidate Profile</strong></p><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p> <p>Qualifications, Experience &amp; Competencies: The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:<br>Educational Qualifications: A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.<br>Specialization Areas: Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.<br>Teaching Experience: Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.<br>Research Engagement: Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.<br>Industry Experience: Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.<br>Practical Skills: Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.<br>Professional Development: Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.<br>Community Participation: Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</p> <p>Priority in recruitment shall be given to Omani Candidates.</p>

<div> <p> </p> <p><b>Position Title</b></p> <p>Dean Faculty of Science and Technology</p> <p>Reports to</p> <p>Deputy Vice-Chancellor for Academic Affairs,<br> Research &amp; Innovation</p> <p>Supervises</p> <p>Assistant Dean(s), Directors and Heads of<br> Departments/Sections, Faculty, and Administrative Staff of the Faculty.</p> <p> </p> Role Purpose <p>The Dean of the Faculty of Science<br>and Technology provides academic and administrative leadership to ensure the<br>highest standards of teaching, research, and industry engagement within the Faculty.<br>The Dean is responsible for the strategic and operational development of the Faculty,<br>aligning academic programs with national and international accreditation<br>requirements, as well as market needs in technology, and applied sciences.</p> Key Responsibilities Strategic &amp; Academic Leadership <ul> <li>Provide<br>leadership in developing and executing the Faculty s strategic and operational<br>plans in line with the University s overall strategy.</li> <li>Ensure high-quality, innovative, and industry-relevant<br>academic programs in Science and technology disciplines.</li> <li>Oversee curriculum development, review, and<br>accreditation processes to align with OAAAQA and international standards.</li> <li>Foster an environment of academic excellence,<br>innovation, and applied research.</li> </ul> Faculty &amp; Staff Management <ul> <li> Oversee faculty recruitment, promotion, and<br>professional development within the Faculty.</li> <li>Conduct performance appraisals of faculty and staff,<br>ensuring accountability and continuous development.</li> <li>Establish mentoring and professional development<br>frameworks for faculty, with delegated operational support from the Assistant<br>Dean.</li> <li>Ensure faculty<br>sufficiency in numbers, qualifications, and specializations to meet program and<br>accreditation requirements.</li> </ul> Research &amp; Innovation <ul> <li>Promote research activities across Science and<br>technology disciplines, encouraging interdisciplinary collaboration and<br>external funding.</li> <li>Strengthen partnerships with industry, government<br>agencies, and research institutions.</li> <li>Support the development of innovation hubs and applied<br>research centers within the Faculty.</li> </ul> Student Experience &amp; Employability <ul> <li>Ensure programs foster strong employability outcomes,<br>equipping graduates with the technical, analytical, and leadership skills<br>required by the job market.</li> <li>Oversee student advising, support services, and<br>engagement activities within the Faculty.</li> <li>Foster student participation in competitions,<br>innovation challenges, and industry projects.</li> </ul> Accreditation, Compliance &amp; Quality<br>Assurance <ul> <li>Own and oversee the Institutional Standards Assessment<br>(ISA) and Programme Standards Assessment (PSA) processes relevant to the Faculty.</li> <li>Ensure continuous improvement cycles are embedded in<br>all academic and administrative processes, including timely closure of action<br>plans.</li> <li>Demonstrate compliance with OAAAQA and international<br>accreditation requirements for Science and technology programs.</li> </ul> External Engagement &amp; Partnerships <ul> <li>Build strategic partnerships with Science firms,<br>technology companies, and professional bodies.</li> </ul> <p> </p> <ul> <li>Actively engage with advisory boards, industry<br>leaders, and accreditation agencies.</li> <li>Represent the Faculty at national and international<br>forums.</li> </ul> Operational &amp; Financial Management <ul> <li>Prepare and implement the Faculty s operational plan,<br>including budget management and resource allocation.</li> <li>Ensure optimal utilization of facilities,<br>laboratories, and infrastructure to support teaching, research, and innovation.</li> <li>Develop new programs and initiatives to enhance<br>revenue generation and sustainability of the Faculty.</li> </ul> Qualifications &amp; Experience Education <ul> <li>PhD in a relevant science or technology discipline.</li> <li>Minimum academic rank of Associate Professor<br>(preferred: Full Professor).</li> <li> Leadership training in higher education administration is desirable.</li> </ul> Experience <ul> <li>Minimum 12 15 years of academic experience, including<br>at least 3 years in a leadership role at a recognized Faculty or university.</li> <li>Proven record in teaching, research, academic<br>leadership, and program accreditation.</li> <li>Demonstrated experience in academic planning,<br>curriculum development, faculty management, and industry engagement.</li> </ul> Competencies <ul> <li>Strong academic standing with evidence of scholarly<br>contributions.</li> <li> Expertise in curriculum design, teaching, and<br>assessment.</li> <li>Strong knowledge of OAAAQA Standards.</li> <li>Excellent leadership, communication, and interpersonal<br>skills.</li> <li>Ability to manage diverse teams and build<br>collaborative environments.</li> <li>Strong strategic planning, problem-solving, and<br>decision-making skills.</li> <li>High ethical standards, integrity, and commitment to<br>institutional values.</li> </ul> <p> </p> <p> </p> </div> <div> <div></div></div>

<p><br></p> <p> <strong>Experience:</strong> </p> <ul> <li>BSc Engineering in Telecoms, Computing, Engineering, Science or related fields.</li> <li>Minimum of 15 years in FEED/Engineering Experience and 10 years relevant experience in Oil &amp; Gas.</li> <li>Proven project management and leadership skills, and good knowledge of business analysis.</li> <li>Excellent in planning, communication and presentation skills, and is expert in project quality management</li> <li>Excellent interpersonal, written &amp; oral communication skills with the ability to persuade, lead teams &amp; build trust at all levels in the organisation.</li> <li>Proven track record in customer relationship management.</li> <li>Comprehensive knowledge of relevant project life-cycles.</li> <li>A sound knowledge in Exploration &amp; Production Engineering business activities is required or in depth knowledge within a respective portfolio discipline.</li> <li>Demonstrates ability to proactively seek responsibility and shows systematic approach to problem solving</li> <li>Possesses an in-depth understanding of IM&amp;T practices, principles, and information and communications technology.</li> </ul> <p>The Principal Process Engineer will be responsible to Plan, implement and manage FEED Office projects and assist IM&amp;T (Applications, Telecoms, Computing and Information Management) projects for within scope, cost and time</p> <p> <strong>Designing the future. Transforming the world</strong> </p> <p>Reflecting the market focus for the office in both brownfield and green field opportunities, multi-skilled personnel are sought, for those with experience in Onshore Oil and Gas.<br> <br> <strong>What we can offer</strong> </p> <ul> <li> <strong>Meaningful and interesting projects</strong> delivered to leaders of industry across oil and gas and emerging energy sectors </li> <li> <strong>Commitment to Diversity and Inclusion</strong>; we are an organisation actively committed to diversity and inclusion across our busiess with employee networks committed to giving all employees a voice</li> <li> <strong>Competitive salary</strong> with regular salary reviews to ensure we are rewarding at the right level in line with the market</li> <li> <strong>Medical Insurance: </strong>Ensures inpatient and outpatient care is available should you require treatment. Cover limits apply, please refer to the terms of benefit and network list for further details.</li> <li> <strong>Workmen s Compensation</strong>: Provides payment of 3 x Annual Wage (up to a maximum of 5000 OMR) upon death or permanent disability.</li> <li> <strong>Employee Assistance Programme: </strong>Allows you to feel comfortable knowing that you or your immediate family members can confidentially discuss any work or personal issues that are an inevitable part of life. The programme helps support your mental, physical, social &amp; financial well-being.</li> </ul> <p> <strong>Typical responsibilities</strong> </p> <ul> <li> Study, review and identify the scope from the input document of previous phase of ORP. </li> <li> Develop Terms of Reference (TOR) for each project under area of responsibility and in consultation with relevant IM&amp;T Portfolio Analysts. </li> <li> Develop CTR estimate and provide inputs to project execution plan/schedule for projects as necessary. </li> <li> Create and manage Project MTO of Telecom in SAP. </li> <li> Plan and Execute procurement activities as per the agreed implementation strategy and in line with C&amp;P guidelines. </li> <li> Review the key project deliverables and liase with IM&amp;T team ensuring the FEED Office standards compliance. </li> <li> Supervise and ensure alignment of Quality System requirement for all projects executed in FEED Office. </li> <li> Actively involve in CI and Lean Management with regards to FEED Office proecdures and Project management. </li> <li> Participate in quality audits and own the responsibility of resolving any findings / NCR / Improvements raised for Telecoms. </li> <li> Execute allocated projects in line with project plan, actively participating in all phases of the project. Identify, assess and manage risks to the success of the project. </li> <li> Maintain, Review and Monitor the project Cost Performance Index and Schedule Performance Index for the projects under execution. </li> <li> Adopt and implement Project Management best practices in line with directives from FEED Office, IM&amp;T project office and corporate guidelines. </li> <li> Conduct and attend relevant workshops and framing sessions related to project execution in accordance with project schedule. </li> <li> Provide input to project Value Assurance Reviews during major stage gates of the key projects. </li> <li> Manage contractors as per the corporate guidelines stipulated under IMT-502 List. </li> <li> Manage internal resources for the implementation of FEED Office projects and activities associated with FEED Office standards and procedures. </li> <li> Manage and execute FEED Office projects. Ensure completion within the agreed time scale while maintaining Company standards. </li> <li> Ensure project handover and demonstrate the handover as per FEED Office standards. </li> <li> Complete technical closeouts as per the FEED office standards. </li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Our Client</b></p><p><br></p><p>A leading food and commodities manufacturing organization in the region is looking for an experienced R&amp;D Manager to lead product development, formulation, standardization, process optimisation, and innovation across its core food product portfolio.</p><p><br></p><p><b>Role Overview</b></p><p><br></p><p>You will lead the technical development and R&amp;D agenda across cereal-based and value-added food products, taking projects from raw material evaluation and formulation through pilot trials, process optimisation, and commercial scale-up.</p><p>The role will focus on strengthening product consistency, developing new products, improving existing formulations, optimising manufacturing processes, and supporting the organization’s broader innovation and growth strategy.</p><p><br></p><p><b>Key Responsibilities</b></p><ul><li>Lead R&amp;D activities across cereal-based and value-added food products, from concept development and formulation through pilot trials and commercial scale-up.</li><li>Develop, standardize, and optimise product formulations and specifications across multiple product grades, applications, and customer requirements.</li><li>Evaluate raw material characteristics and processing performance to improve product consistency, functionality, quality, and manufacturing efficiency.</li><li>Lead new product development and product renovation initiatives aligned with market requirements, customer needs, and the organization’s innovation strategy.</li><li>Conduct sensory, physicochemical, shelf-life, and performance testing while establishing appropriate technical and quality benchmarks.</li><li>Partner with Production, Quality, and Procurement teams to troubleshoot formulation and manufacturing issues and optimise process parameters.</li><li>Maintain technical documentation covering formulations, specifications, standard operating procedures, testing protocols, and product standards.</li><li>Support innovation roadmaps, feasibility studies, cost optimisation, and continuous improvement initiatives while monitoring developments in food processing and product technology.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Must-Have</b></p><p><b><span></span></b></p><ul><li>Bachelor’s or Master’s degree in Food Science, Food Technology, Cereal Science, or a related discipline.</li><li>8–10+ years of R&amp;D or technical experience within food manufacturing, cereal-based products, grain processing, bakery ingredients, pasta, or a closely related processing environment.</li><li>At least 3–5 years of managerial or technical leadership experience, with responsibility for R&amp;D, product development, or technical teams.</li><li>Strong hands-on understanding of cereal science, raw material functionality, formulation, product standardization, and manufacturing processes.</li><li>Proven experience delivering new product development, formulation improvement, product renovation, and commercial scale-up within an industrial manufacturing environment.</li><li>Experience working closely with manufacturing equipment and Production, Quality, Procurement, and Commercial teams to resolve technical and process challenges.</li><li>Strong exposure to pilot trials, sensory and product testing, process optimisation, technical documentation, and cost improvement initiatives.</li><li>Strong analytical and problem-solving capability with a practical lab-to-production-line approach.</li><li>Fluent English communication skills, Arabic language capability would be an advantage.</li></ul><p><br></p></div>

<p>The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. In the Sultanate of Oman, GGGI has partnered with the Government through the leadership of the Environment Authority (EA) to develop the "Accelerating Resilience and Innovation for Sustainable Ecosystems management" (ARISE) Program . The ARISE Program is a USD 100 million initiative spanning six years, designed to deliver climate action, ecosystem restoration, and economic growth through Nature-based Solutions (NbS) integrated into the Bioeconomy and Sustainable Special Economic Zones (SSEZs) . The program ultimately targets the restoration of 30,000 hectares of land, an estimated 750,000 tCO2e/year in greenhouse gas emission reductions, and the creation of over 1,000 green jobs. The implementation of the ARISE Program is structured around two phases. Phase 1 will cover 2 years, and Phase 2 will be over 4 years. The funding has been approved for Phase 1. POSITION SUMMARY Based in Salalah, in Dhofar Governorate, Oman, the MEL &amp; Data Officer plays a key role as the MEL focal point for the Oman ARISE Program. Reporting directly to the ARISE Program Lead, this position supports the on-the-ground delivery of the multi-year program s results framework. The Officer will work in close collaboration with the Regional MEL Senior Officer for the Middle East and North Africa (MENA) to implement GGGI s organizational-wide MEL framework at the program level. This role involves coordinating MEL implementation, data collection, analysis, and visualization, learning &amp; reporting following the comprehensive MEL plan for ARISE, including supporting baseline assessments such as Knowledge, Aptitude, and Practices (KAP) surveys and ecological data tracking. Additionally, the Officer will collaborate with the Program Implementation Unit (PIU) to create tailored MEL tools, assist in internal and external reporting, and contribute to the capacity of local partners and government stakeholders. PURPOSE • Coordinate the implementation and periodic review of MEL framework and MEL Plan specifically for the Oman ARISE Program, ensuring alignment with overall program objectives and GGGI s global MEL standards. • Support updates to the Theory of Change (TOC) and Detailed Implementation Plan (DIP) based on field validations and data collection. • Coordinate and execute formal baseline assessments including integrating GIS spatial data, GHG emission tracking, and socio-economic data within the first months of the inception phase. • Collaborate with the Program Lead and technical experts to design tailored mobile data collection tools and dashboards that effectively monitor and evaluate program outputs and outcomes. • Compile lessons learned and best practices to refine the program s adaptive management strategies. ENGAGEMENT • Collaborate with program team members to design, test, and implement tailored MEL and data collection tools that effectively monitor and evaluate community-level project activities. • Maintain close communication with the RO-MENA and collaborates closely with the Regional MEL Senior Officer (MENA) to ensure adherence and contribute to GGGI s Project/Program Cycle Management (PCM) guidelines and MEL methodologies. • Engage actively with key Omani government stakeholders, including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Oman Zero Carbon Center, to align program MRV methodologies with national tracking systems and NDCs. • Partner with local academic institutions, primarily the Dhofar University Biodiversity Research Center (BRC), to execute randomized field surveys, focus group discussions, and ecological data triangulation. DELIVERY • Coordinate and support mixed-methods baseline assessments, including large-scale KAP surveys targeting Dhofar communities, ensuring high-quality data collection following statistically valid random sampling frameworks.&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>Master's degree or equivalent in economics, statistics, data science, environmental science, development studies, or a related field.</p><p>A minimum of 5 years of professional experience in monitoring and evaluation, data analysis, and program development for large-scale international development or climate finance projects.</p><p>Demonstrated expertise in quantitative and qualitative data analysis software (e.g., R, Python, MAXQDA) and advanced Microsoft Excel (VBA).</p><p>Proven experience utilizing mobile data collection platforms (Kobo Toolbox, Ona, etc.) and developing user-friendly digital survey forms.</p><p>Exceptional analytical, writing, and presentation skills in English are required.</p><p>Fluency in Arabic is an asset for this role and is highly desirable.</p><p>Strong written and verbal communication skills in English; ability to draft high-quality MEL frameworks, evaluation reports, and technical documents.</p><p>Strong project management and coordination skills, including experience working with governments (e.g., Environment Authority), development partners, and technical experts.</p><p>Ability to interpret technical analysis, GIS mapping, and GHG modeling outputs and translate them into actionable MEL insights and policy-level reporting.</p><p>Strong background in developing complex logframes and impact tracking mechanisms, particularly for climate change, agriculture, or Nature-based Solutions (NbS).</p><p>Ability to coordinate consultants, enumerators, and data collection activities across multiple stakeholders without direct line management authority.</p><p>Strong organizational skills and attention to detail, with the ability to manage competing priorities and meet deadlines in a time-sensitive environment.</p><p>Solutions-oriented and collaborative approach to problem solving in a multi-stakeholder setting.</p><p>Understand and actively support GGGI's mission, vision and values.</p><p>Promote an organizational culture of trust, transparency, respect and partnership.</p><p>Excel at problem solving, ask questions and seek support when needed, share easily information and knowledge with others both internally as externally.</p><p>Manage emotions and stress positively, build rapport and resolves conflict easily.</p><p>Strong ability to work independently and/or remotely, while maintaining productivity.</p>

<p>The Livestock Husbandry Officer is responsible for planning, implementing, monitoring, and improving livestock production systems with a focus on animal nutrition, fodder production, herd health management, milk production, meat production, animal welfare, and farm productivity. The position supports the development of sustainable and climate-resilient livestock systems in Oman while ensuring compliance with national veterinary, food safety, and biosecurity regulations. The position ensures data collection and reporting by maintaining livestock production databases and farm records, analyzing production, health, and economic performance indicators, preparing technical reports, progress reports, and recommendations, supporting livestock sector assessments and feasibility studies and contributing to national livestock development initiatives and projects.</p><p><b>ENGAGEMENT</b></p><ul><li>Coordinate stakeholder engagement with government agencies, private-sector actors, financial institutions, and development partners to ensure coordinated delivery and alignment with national priorities.</li><li>Foster coherent collaboration across program staff and stakeholders to ensure complementarity, transparency, and efficient joint implementation.</li><li>Promote a team culture aligned with GGGI s values of Trust, Transparency, Respect, and Partnership.</li><li>Report directly to the Chief of Party on livestock husbandry-related activities and coordination with other workstreams.</li><li>Represent the program in meetings, workshops, and calls as delegated, ensuring effective follow-up and timely documentation.</li></ul><p><b>DELIVERY</b></p><ul><li><b>Livestock Production Management:</b> Provide technical support for cattle, camel, and small ruminant production systems; monitor herd performance indicators (growth, mortality, reproduction, milk yield, and meat efficiency); and assist stakeholders in adopting improved breeds and production technologies.</li><li><b>Feed, Nutrition, and Fodder Management:</b> Formulate balanced, cost-effective rations and introduce alternative, climate-smart feed resources and conservation techniques (silage and hay) suited for arid environments. Assess fodder availability to develop sustainable production plans including Rhodes grass, Alfalfa, Sorghum, Maize silage, and hydroponics that reduce reliance on imported feed while optimizing water management.</li><li><b>Animal Health, Biosecurity and Dairy/Meat Development:</b> Partner with veterinary teams to implement disease prevention, vaccination, and biosecurity protocols while ensuring compliance with Omani notifiable disease reporting and antimicrobial stewardship. Monitor dairy/meat performance to improve milk hygiene, mastitis control, fattening programs, and carcass quality.</li><li><b>Capacity Building and Extension Services:</b> Deliver targeted training manuals, guidelines, and climate-smart livestock extension programs for farmers, cooperatives, and local personnel, with a specific focus on mainstreaming women and youth participation across livestock value chains.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in: Animal Science, Animal Production, Livestock Production, Veterinary Science, Agricultural Science (Livestock Specialization)</li><li>Preferred: Master's degree in animal nutrition, ruminant production, dairy science, veterinary public health, or related field.</li><li>6-8 years of relevant experience in livestock production, husbandry, and farm management</li><li>Proven practical experience in dairy and/or meat production systems, feed formulation, and fodder production under arid or semi-arid environments.</li><li>Familiarity of animal health management and biosecurity practices, and smallholder/commercial livestock operations</li><li>Experience in arid and semi-arid environments.</li><li>Experience in GCC countries, particularly Oman.</li><li>Experience in donor-funded agricultural development projects.</li><li>Fluency in English (written and spoken) is required. Knowledge of Arabic is an asset.</li><li>Strong ability to interpret, outline and implement guidelines, policies, and procedures effectively.</li><li>Excellent interpersonal skills to manage diverse stakeholder needs and foster collaboration.</li><li>Strategic thinker with capacity for joint problem-solving and decision-making.</li><li>Highly organized, detail-oriented, and able to prioritize under time constraints.</li><li>Demonstrates creativity, innovation, flexibility, and entrepreneurial mindset in achieving outputs.</li><li>Comfortable working independently and within a team environment.</li><li>Excellent interpersonal and facilitation skills, capable of translating complex concepts around bioeconomy to a wider audience.</li><li>Proven experience in mainstreaming safeguards, gender, poverty reduction, and social inclusion in project delivery.</li></ul>