Factory Jobs

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>JOB CONTENT</strong> </p> <p>To support the handling of customer complaints and feedback submitted through the official platform by reviewing entries, following up with concerned units, updating customers on resolutions, and assisting in maintaining service quality records.</p> <p> </p> <p> <strong>2. Duties and Responsibilities</strong> </p> <p>Operational:</p> <p>1. Monitor the Complaints and Feedback Platform and receive entries submitted by customers.</p> <p> </p> <p>2. Check submitted complaints and feedback for completeness and clarity.</p> <p> </p> <p>3. Contact customers, when required, to confirm receipt and clarify any missing details.</p> <p> </p> <p>4. Forward cases to relevant departments or branches for investigation and resolution.</p> <p> </p> <p>5. Follow up on pending items to ensure resolution within the set timeframe.</p> <p> </p> <p>6. Notify customers of the outcomes and confirm closure of complaints.</p> <p> </p> <p>7. Update and maintain accurate records of complaints, responses, and actions taken.</p> <p> </p> <p>8. Assist in tracking complaints from the Call Center system and follow up for resolution.</p> <p> </p> <p>9. Note common issues or frequently raised points and inform the supervisor.</p> <p> </p> <p>10. Assist in preparing basic reports on complaint volumes and trends.</p> <p> </p> <p>11. Suggest simple process changes to improve how the platform works, based on recurring issues.</p> <p> </p> <p>12. Coordinate with other units if small technical adjustments to the platform are needed.</p> <p> </p> <p>13. Conduct or assist with short customer surveys when requested.</p> <p> </p> <p>14. Ensure survey results are recorded and submitted on time.</p> <p> </p> <p>15. Carry out other support tasks assigned by the supervisor related to customer feedback or records.</p> <p> </p> <p> <strong>KEY INTERACTIONS</strong> </p> <p>1. Internal</p> <p> All internal departments</p> <p> </p> <p> As part of day-to-day activities</p> <p> </p> <p>2. External</p> <p> </p> <p> DB Customers, Technical Support Vendors</p> <p> </p> <p> As part of day-to-day activities</p> <p>3. Level of external interaction</p> <p> </p> <p> This position requires a medium level of external interactions</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> <strong>MINIMUM EDUCATION, QUALIFICATIONS &amp; SKILLS</strong> </p> <p> </p> <p>Education:</p> <p> </p> <p> Bachelor s degree in Business Administration, Customer Service, or related field</p> <p> </p> <p>Experience:</p> <p> </p> <p> 2 to 4 years of experience in customer service or complaints handling</p> <p> </p> <p> <strong>Special Skills &amp; Knowledge:</strong> </p> <p> </p> <p> Basic understanding of complaint and feedback processes</p> <p> </p> <p> Familiarity with online forms, CRM, or case-tracking tools</p> <p> </p> <p> Clear communication and basic data entry skills</p> <p> </p> <p> Attention to detail and follow-up capability</p> <p> </p> <p> Willingness to support quality improvement</p> <p> </p> <p>ADDITIONAL QUALIFICATION /CERTIFICATION REQUIRED</p> <p> </p> <p> NA</p> <p> </p> <p>HEALTH, SAFETY AND ENVIRONMENT</p> <p> </p> <p> This position follows all the HSE procedures as set by the company</p></div></section>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><br><br>Job Description<br><ul><li>Monitor and improve Rider Performance and Compliance.</li><li>Lead Rider Recruitment for the allocated zones.</li><li>Lead the team to complete Ad-hoc tasks and projects.</li><li>Lead a Team of Rider Coordinators and/or Rider Captains.</li><li>Document weekly updates on all logistics operations KPIs to line-manager along with actionable improvement items.</li><li>Monitor, Control, and Optimize our internal Service Level KPIs on allocated zones and rider-level.</li><li>Manage rider rooster with proper allocation of shifts/breaks/off-days etc.</li><li>Supervises rider onboarding and training schedule with Rider Trainer and RiderSupervisor.</li><li>Inventory management and usage compliance of Rider equipment.</li><li>Oversee and decrease rider-level cancellations, and ensure an action plan has been developed and executed.</li><li>Groom rider quality (behavior, appearance, professionalism, presentational etc).</li><li>Setting up a performance improvement plan to improve performance of low performing riders.</li><li>Reduce rider complaints originating from customers.</li><li>Monitor riders performance on individual level and responsible for coaching/warning riders.</li><li>Audits fleet appearance &amp; rider behavior via on ground visits.</li></ul><br>Qualifications<br><ul><li>Bachelor's Degree</li><li>2+ years of experience in food/grocery tech industry is highly preferred</li><li>Proficient in Google Suite tools like GDoc, GSheet, GSlides, GForms etc</li><li>Strong communication skills, both written and verbal.</li><li>Influencer and negotiation with good public speaking and presentation skills</li><li>People management skills: Experience in managing a bigger group of people</li></ul><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>To support the design, measurement, enhancement, and optimization of customer experiences across the Bank s digital channels and platforms. The role is responsible for ensuring that digital customer journeys are seamless, intuitive, and customer-centric while supporting digital adoption, omnichannel integration, customer engagement, and continuous improvement initiatives aligned with the Bank s Customer Experience Strategy and Digital Transformation roadmap.</p><p><strong>2. Duties and Responsibilities</strong></p><p><strong>Strategic:</strong></p><ul><li>Support the implementation of the Bank s Digital Customer Experience Strategy and Digital Transformation initiatives.</li><li>Contribute to the development of customer-centric digital experiences across all customer-facing digital channels.</li><li>Support the identification of opportunities to improve digital customer engagement, usability, accessibility, and adoption.</li><li>Participate in digital customer journey mapping and experience design initiatives.</li><li>Benchmark digital customer experience practices against leading banks and industry best practices.</li><li>Support the implementation of omnichannel customer experience initiatives to ensure consistency across customer touchpoints.</li></ul><p><strong>Operational:</strong></p><ul><li>Monitor customer experience across digital channels including websites, customer portals, mobile applications, self-service platforms, CRM channels, and emerging digital solutions.</li><li>Analyze customer behavior, customer interactions, and usage patterns across digital channels to identify improvement opportunities.</li><li>Track and monitor digital customer experience KPIs including digital adoption, portal utilization, customer satisfaction, digital service performance, customer effort, abandonment rates, and channel migration metrics.</li><li>Conduct digital experience assessments and identify friction points affecting customer engagement and satisfaction.</li><li>Collaborate with Information Technology, Digital Transformation, Operations, and business units to recommend and implement customer-centric digital improvements.</li><li>Support testing and validation of digital platforms, customer portals, mobile applications, and customer-facing solutions from a customer experience perspective.</li><li>Participate in User Acceptance Testing (UAT) and customer experience reviews for new digital products, enhancements, and technology initiatives.</li><li>Monitor customer feedback related to digital channels and coordinate with Voice of Customer and Customer Journey teams to identify opportunities for improvement.</li><li>Support implementation of CRM, customer engagement, and omnichannel communication initiatives.</li><li>Assist in developing digital experience dashboards, scorecards, reports, and presentations for management review.</li><li>Track progress of digital customer experience improvement initiatives and report outcomes against agreed targets.</li><li>Support the implementation of accessibility, usability, and customer-centric design standards across digital platforms.</li><li>Contribute to the achievement of customer experience objectives related to digital adoption, customer satisfaction, and service excellence.</li><li>Perform any other relevant task assigned from time to time by the Head of Customer Experience.</li></ul><p><strong>People:</strong></p><ul><li>Promote digital-first and customer-centric thinking across the organization.</li><li>Support awareness initiatives aimed at increasing digital adoption and customer engagement.</li><li>Contribute to knowledge sharing and dissemination of digital customer experience best practices.</li><li>Support customer experience capability-building initiatives related to digital channels and customer engagement.</li></ul><p><strong>KEY INTERACTIONS</strong></p><p><strong>1. Internal</strong></p><ul><li>Head of Customer Experience</li><li>Manager Customer Experience</li><li>Center Specialist</li><li>Voice of Customer Specialist</li><li>Customer Journey</li><li>Digital Transformation Department</li><li>Information Technology Department</li><li>Operations Department</li><li>Business Units</li><li>Product Development Teams</li><li>Marketing &amp; Corporate Communications</li><li>Contact Center Team</li><li>Customer Complaints Team</li><li>Branch Network</li><li>Human Capital (for awareness and capability-building initiatives)</li><li>As per operational activities</li></ul><p><strong>2. External</strong></p><ul><li>Technology Vendors</li><li>Digital Solution Providers</li><li>CRM Providers</li><li>Customer Experience Consultants</li><li>Research and Survey Providers</li><li>Customers</li><li>Service Providers</li><li>As part of operational activities</li></ul><p><strong>3. Level of external interaction</strong></p><p>This position requires a High level of external interaction</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>MINIMUM EDUCATION, QUALIFICATIONS &amp; SKILLS</strong></p><p><strong>Education:</strong></p><p>Bachelor s Degree in Business Administration, Information Systems, Digital Business, Marketing, Customer Experience, Computer Science, Banking, or related discipline.</p><p><strong>Experience:</strong></p><p>4 6 years of relevant experience in digital customer experience, digital channels management, customer engagement, CRM, digital transformation, customer journey management, UX/UI, or related fields.</p><p><strong>Special Skills &amp; Knowledge:</strong></p><ul><li>Strong understanding of Digital Customer Experience principles and best practices.</li><li>Knowledge of digital customer journeys, omnichannel customer engagement, and customer-centric design.</li><li>Familiarity with CRM platforms, customer portals, mobile applications, and digital service platforms.</li><li>Experience in customer analytics, digital adoption measurement, and customer behavior analysis.</li><li>Understanding of UX/UI concepts and usability assessment methodologies.</li><li>Knowledge of customer experience metrics including NPS, CSAT, CES, digital adoption, and customer engagement indicators.</li><li>Proficiency in Microsoft Office applications, Power BI, and reporting tools.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Excellent communication and presentation skills.</li></ul><p><strong>Business Understanding:</strong></p><p>This position requires a low-medium level of business understanding</p><p><strong>ADDITIONAL QUALIFICATION /CERTIFICATION REQUIRED</strong></p><p>Professional certifications in Customer Experience, Digital Experience, UX/UI, Customer Journey Management, Digital Transformation, CRM, or related disciplines are preferred.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <div> <div> <p><br></p> <p> </p> <p> <b>1. Purpose of the Position</b> </p> <p>Muscat University seeks to expand<br>its Faculty of Transport &amp; Logistics by appointing a Lecturer in Artificial<br>Intelligence. Applications are welcome from candidates with experience in<br>teaching and research across a range of disciplines, including, but not limited<br>to, artificial intelligence, machine learning, data science, AI applications in<br>logistics and supply chain, and intelligent transportation systems.</p> <p>With an ethos of providing<br>exceptional student experience, the post holder will work with the Faculty<br>Director to ensure efficient and effective delivery of modules. S/he will be<br>responsible for teaching modules such as: Artificial Intelligence in Logistics;<br>Machine Learning for Supply Chain; Data Analysis for Logistics; Supply Chain<br>Decision Support and Analysis; AI-Driven Transportation Systems; and Predictive<br>Analytics in Freight Management.</p> <p>S/he will be responsible for<br>ensuring that curriculum management and enhancement activities comply with the<br>standards set by the Omani accreditation authorities, such as the Oman Academic<br>Accreditation Authority (OAAA). In addition to teaching, the post-holder will<br>contribute to supervising UG final-year projects, PG dissertations, AI and<br>machine learning competitions, and research-related activities.</p> <p>To be appointed to the rank of<br>Assistant Professor, the candidate must hold a PhD in Artificial Intelligence,<br>machine learning, data science, AI applications in logistics and supply chain,<br>or a closely related field. A minimum of 2 years of experience in Higher<br>Education (HE) teaching is required.</p> <p> We acknowledge, understand,<br>and embrace diversity and expect joining faculty to display and apply the same<br>principles.<br></p> <p> <b>Key Responsibilities</b> </p> <ul> <li> Deliver high-quality<br>teaching experience for the undergraduate and graduate Transport and Logistics<br>Management programs, with a focus on AI, machine learning, and data-driven<br>tools.</li> <li>Construct, plan, and assess<br>student assignments.</li> <li>Liaise with the Faculty<br>Dean on all student matters, including timetabling, academic, and technical<br>support.</li> <li>Undertake the role of<br>Academic Advisor/Personal Tutor.</li> <li>Undertake research and<br>scholarly activity with a view to publishing in quality international academic<br>journals.</li> <li>Engage with external<br>maritime and logistics bodies and industry to enrich the student experience,<br>including visiting students on industrial placements.</li> <li>Engage with the external<br>community and stakeholders to promote the Sustainable Development Goals (SDGs)<br>agenda)</li> <li>Participate in university<br>meetings and events, including Board of Examiners, Programme Reviews, Planning<br>and Monitoring Committees, and Staff/Student Liaison.</li> <li>Maintain flexible working<br>patterns which may include some evening and weekend work in support of<br>Programme/Faculty/University business.</li> <li>Actively engage with<br>businesses, professional bodies, port authorities, and shipping companies;<br>organize student outreach and invite industry speakers to enhance student<br>experience.</li> <li> Any other duties as deemed<br>necessary by the Dean.<br></li> </ul> <p> <strong> <b>Any other duties as deemed necessary by the Line Manager.</b> </strong> </p> <p> <b> <b>Qualifications, </b>Experience &amp; Competencies:</b> </p> <ul> <li>Master s in Artificial Intelligence, Computer Science, Data<br>Science, or a closely related area for the Lecturer rank. PhD (or equivalent) in Artificial<br>Intelligence, Machine Learning, or a closely related field. Professional<br>qualifications and/or memberships in recognized AI or computing bodies for the<br>Assistant Professor rank. </li> <li>Ability to communicate with<br>clarity on complex &amp; conceptual ideas to those with limited knowledge &amp;<br>understanding, and to peers, using high-level skills &amp; a range of media.</li> <li>Ability to think critically<br>and promote innovation and creativity.</li> <li>Demonstrates competencies,<br>core behaviours, and supplementary behaviours that support and promote the<br>University s core values.</li> <li>Committed to ensuring a<br>high-quality student experience.</li> <li>One to two years of experience in<br>teaching modules in Sustainable Shipping, Maritime Transport, or a closely<br>related field in Higher Education. </li> <li> Experience in the Omani and<br>GCC HE environments. Strong links to the maritime and sustainability industry.<br>Academic accreditation or quality assurance experiences. Experience with<br>sustainability frameworks such as the IMO 2050 strategy or GHG reduction targets.<br></li> </ul> <p> <b>While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. </b> </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>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><br></p></div></div></div><div><div><div><div> <p></p></div></div></div></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Business and Economics at the Modern College of Business and Science (MCBS), Muscat, Oman, invites applications for a full-time faculty position in FinTech / Financial Technology. The successful candidate will contribute to high-quality teaching, applied and scholarly research, industry engagement, curriculum development, and quality assurance activities aligned with MCBS priorities and international accreditation expectations.</p> <p> </p> <p> <strong>Core teaching areas may include:</strong> </p> <p>Financial Technology; Digital Banking; Blockchain Applications in Finance; AI and Analytics in Finance; Digital Payments and Financial Innovation; Financial Data Analytics; Islamic FinTech where applicable; Risk, Regulation, and Compliance in FinTech.</p> <p> <strong>Key responsibilities:</strong> </p> <p> Teach undergraduate and/or postgraduate courses in FinTech, finance, business technology, and related areas in face-to-face, online, and blended modes.</p> <p> Develop course syllabi, course learning outcomes, assessment plans, rubrics, case studies, and digital learning materials aligned with program learning outcomes.</p> <p> Integrate emerging financial technologies, analytics tools, industry cases, and Oman/GCC examples into teaching.</p> <p> Conduct research and publish in peer-reviewed journals; pursue applied research, grants, consultancy, and industry collaboration where appropriate.</p> <p> Support student advising, supervision of projects, internships, capstones, and employability-related initiatives.</p> <p> Participate in curriculum review, Assurance of Learning, moderation, program assessment, accreditation evidence preparation, and continuous improvement.</p> <p> </p> <p> <strong>Required qualifications:</strong> </p> <p> Assistant/Associate Professor: PhD/DBA in FinTech, Finance, Financial Economics, Information Systems, Business Analytics, Digital Banking, or a closely related field from a recognized university.</p> <p> Associate Professor candidates should demonstrate a sustained record of peer-reviewed publications, academic leadership, student supervision, and service.</p> <p> Evidence of teaching effectiveness and ability to teach online, hybrid, and technology-enhanced courses.</p> <p> Bilingual Arabic-English communication is preferred; ability to teach in Arabic is an advantage for relevant programs.</p> <p> Experience with quality assurance, AACSB/OAAAQA/OQF-aligned assessment, CLO/PLO mapping, moderation, and accreditation documentation is strongly preferred.</p> <p> </p> <p> <strong>Preferred qualifications and experience:</strong> </p> <p> Professional certifications or industry experience in digital banking, payments, analytics, blockchain, compliance, risk management, or financial services.</p> <p> Experience with applied projects, case-based teaching, executive education, or industry partnerships.</p> <p> Demonstrated ability to contribute to MCBS research, innovation, societal impact, and external engagement agendas.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Mathematics and Computer Science at Modern College of Business and Science (MCBS) invites applications for a full-time faculty position in Mathematics. The successful candidate will teach mathematics courses, conduct scholarly and applied research, support student learning, and contribute to quality assurance, accreditation, curriculum development, and community engagement activities. Core Teaching Areas May Include Calculus I, II, and III; Linear Algebra; Probability and Statistics; Discrete Mathematics; Numerical Methods; Business Mathematics; Applied Mathematics; Key Responsibilities Teach undergraduate and/or postgraduate mathematics courses in face-to-face, online, and blended learning modes. Develop course syllabi, instructional materials, assessment tasks, rubrics, and course files aligned with learning outcomes. Integrate technology-enhanced learning tools, mathematical software, and real-world applications into teaching. Conduct research and publish in peer-reviewed journals; contribute to funded research projects, consultancy, and community engagement initiatives. Advise and mentor students, supervise projects, and support academic and professional development activities. Participate in curriculum review, program assessment, moderation, accreditation activities, and Continuous Quality Improvement (CQI) processes. Contribute to departmental committees, outreach activities, and institutional service.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Assistant Professor:</strong> PhD in Mathematics, or Applied Mathematics, from a recognized university.</li><li><strong>Lecturer:</strong> Master's degree in Mathematics, or Applied Mathematics, from a recognized university. (Omanis preferred)</li><li><strong>Essential Requirements:</strong> Evidence of effective teaching at the university level. Ability to teach a broad range of mathematics courses at undergraduate and postgraduate levels. Experience in online and hybrid teaching using modern educational technologies. Strong communication, analytical, and interpersonal skills. Experience in student advising and mentoring.</li><li><strong>Preferred Qualifications and Experience:</strong> Research expertise in areas such as Mathematics, or Applied Mathematics, Experience with mathematical software and programming tools such as MATLAB, R, Mathematica, or Maple Professional certifications or industry experience relevant to mathematics, analytics, or operations research. Experience with curriculum development, outcome-based education, and accreditation processes.</li><li><strong>Quality Assurance and Accreditation Contributions:</strong> Participate in quality assurance, assessment, and continuous improvement activities of the program and department. Support curriculum review, program enhancement, and accreditation-related initiatives. Contribute to departmental committees and activities that support academic quality and institutional effectiveness</li><li><strong>Preferred Research and Academic Contributions:</strong> Contribute to interdisciplinary research initiatives involving mathematics, data science, artificial intelligence, finance, engineering, and business applications. Participate in research clusters, grant applications, and scholarly collaborations. Support student research activities and promote a culture of innovation and lifelong learning.</li><li>The successful candidate is expected to maintain academic and professional currency, contribute to teaching excellence, research productivity, student success, quality assurance initiatives, and the continuous enhancement of the Department.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Mathematics and Computer Science at Modern College of Business and Science (MCBS) invites applications for a full-time faculty position in Robotics and Intelligent Systems. The successful candidate will teach robotics-related courses, conduct scholarly and applied research, support student learning, and contribute to quality assurance, accreditation, innovation, and industry engagement activities. Core Teaching Areas May Include Introduction to Robotics; Robot Programming; Industrial Robotics; Autonomous Systems; Artificial Intelligence for Robotics; Embedded Systems and IoT; Sensors and Actuators; Mechatronics; Human-Robot Interaction; Control Systems; Mobile Robotics; Robotic Process Automation (RPA)</p><p>Key Responsibilities</p><ul><li>Teach undergraduate and/or postgraduate courses in robotics, automation, artificial intelligence, and related fields in face-to-face, online, and blended modes.</li><li>Develop course syllabi, laboratory manuals, digital content, project-based learning activities, assessment tools, rubrics, and course files aligned with learning outcomes.</li><li>Integrate modern robotics platforms, simulation tools, AI technologies, and industry applications into teaching and laboratory activities.</li><li>Establish and maintain robotics laboratories and support hands-on learning experiences.</li><li>Conduct research and publish in peer-reviewed journals; contribute to funded research projects, consultancy, patents, and innovation initiatives.</li><li>Supervise student projects, capstones, internships, competitions, and research activities.</li><li>Participate in curriculum review, program assessment, accreditation activities, moderation, and Continuous Quality Improvement (CQI) processes.</li><li>Foster collaboration with industry partners, professional organizations, and community stakeholders.</li></ul><p>Preferred Qualifications and Experience</p><ul><li>Research expertise in Autonomous Systems, AI Robotics, Computer Vision, Machine Learning, Intelligent Control Systems, Human-Robot Interaction, Industry 4.0, Smart Manufacturing, Digital Twins, or related areas.</li><li>Experience with robotics competitions, innovation projects, startup incubation, or technology commercialization.</li><li>Professional certifications in robotics, automation, AI, IoT, cloud technologies, or industrial control systems.</li><li>Experience with curriculum development, outcome-based education, and accreditation requirements.</li></ul><p>Quality Assurance and Accreditation Contributions</p><ul><li>Participate in quality assurance, assessment, and continuous improvement activities of the program and department.</li><li>Support curriculum review, program enhancement, and accreditation-related initiatives.</li><li>Contribute to departmental committees and activities that support academic quality and institutional effectiveness</li></ul><p>Preferred Research and Industry Engagement Areas: Robotics and Autonomous Systems; Smart Manufacturing and Industry 4.0; Internet of Things (IoT); Embedded and Cyber-Physical Systems; Computer Vision and Intelligent Sensing; Human-Robot Interaction; Healthcare and Service Robotics; Sustainable and Green Automation Technologies</p><p>The successful candidate is expected to maintain academic and professional currency, contribute to teaching excellence, research productivity, innovation, student success, quality assurance initiatives, and the continuous enhancement of the Department. The candidate should also actively support the college's strategic goals in emerging technologies, artificial intelligence, robotics, entrepreneurship, and industry engagement.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Qualifications</h2><p>Assistant Professor: PhD in Robotics, Robotics Engineering, Mechatronics Engineering, or Automation Engineering, from a recognized university.</p><p>Lecturer: Master's degree in Robotics, Mechatronics, or Automation, from a recognized university (Omanis preferred)</p><h2>Essential Requirements</h2><ul><li>Evidence of effective teaching at the university level.</li><li>Ability to teach robotics theory and laboratory courses.</li><li>Experience with robotics platforms such as Arduino, Raspberry Pi, ROS, PLCs, robotic arms, drones, autonomous vehicles, or similar systems.</li><li>Proficiency in programming languages such as Python, C/C++, MATLAB, or related technologies.</li><li>Experience in online and hybrid teaching using educational technologies.</li><li>Strong communication, teamwork, and student mentoring skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Mathematics and Computer Science at Modern College of Business and Science (MCBS) invites applications for a full-time faculty position in Physics. The successful candidate will teach physics courses, conduct scholarly and applied research, support student learning, and contribute to quality assurance, accreditation, curriculum development, and community engagement activities. Core Teaching Areas May Include General Physics; Mechanics; Electricity and Magnetism; Thermodynamics; Waves and Optics; Modern Physics; Applied Physics; Computational Physics and Emerging Applications Key Responsibilities Teach undergraduate physics courses in face-to-face, online, and blended learning modes. Develop course syllabi, laboratory manuals, digital learning materials, assessment tools, rubrics, and course files aligned with learning outcomes. Integrate modern teaching methodologies, simulations, laboratory technologies, and real-world applications into classroom instruction. Conduct research and publish in peer-reviewed journals; contribute to research projects, grants, consultancy, and community engagement activities. Advise and mentor students, supervise projects, and support academic and career development initiatives. Participate in curriculum review, program assessment, accreditation activities, and Continuous Quality Improvement (CQI) processes. Contribute to departmental committees, outreach activities, and institutional service initiatives. Quality Assurance and Accreditation Contributions: Participate in quality assurance, assessment, and continuous improvement activities of the program and department. Support curriculum review, program enhancement, and accreditation-related initiatives. Contribute to departmental committees and activities that support academic quality and institutional effectiveness The successful candidate is expected to maintain academic and professional currency, contribute to teaching excellence, research productivity, student success, quality assurance initiatives, and the continuous enhancement of the Department.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Qualifications Assistant Professor: PhD in Physics, Applied Physics or Computational Physics from a recognized university. Lecturer: Master s degree in Physics, Applied Physics or Computational Physics from a recognized university (Omanis preferred) Essential Requirements Evidence of effective teaching physics at the university level. Ability to teach physics laboratory and theory courses. Experience in online and hybrid teaching using modern educational technologies. Strong communication and interpersonal skills. Experience in student advising and mentoring. Preferred Qualifications and Experience Research expertise in areas Physics, Applied Physics or Computational Physics. Experience with laboratory management and experimental research. Professional certifications or industry experience relevant to physics applications. Experience with curriculum development, program assessment, and accreditation processes.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Business and Economics at MCBS invites applications for a full-time faculty position in Accounting. The successful candidate will teach accounting courses, contribute to accounting scholarship and professional engagement, support academic advising, and participate in quality assurance and accreditation-related activities.</p> <p> </p> <p> <strong>Core teaching areas may include:</strong> </p> <p>Financial Accounting; Managerial Accounting; Cost Accounting; Auditing and Assurance; Taxation; Accounting Information Systems; International Financial Reporting Standards (IFRS); Accounting Analytics; Corporate Governance.</p> <p> </p> <p> <strong>Key responsibilities:</strong> </p> <p> Teach undergraduate and/or postgraduate accounting courses in face-to-face, online, and blended modes.</p> <p> Prepare and update syllabi, teaching materials, assessment tools, rubrics, examinations, and course files in line with MCBS requirements.</p> <p> Embed contemporary accounting standards, data analytics, digital accounting tools, and Oman/GCC business examples into teaching.</p> <p> Publish in peer-reviewed journals and contribute to applied research, conference presentations, funded projects, and collaborative scholarship.</p> <p> Advise students, supervise research projects, support internships and capstones, and contribute to employability initiatives.</p> <p> Support curriculum review, Assurance of Learning, moderation, assessment of CLOs/PLOs, accreditation documentation, and continuous improvement.</p> <p> </p> <p> <strong>Required qualifications:</strong> </p> <p> Assistant/Associate Professor: PhD/DBA in Accounting or a closely related field from a recognized university.</p> <p> Lecturer: Master's degree in Accounting or a closely related field from a recognized university; professional certification and teaching experience are preferred.</p> <p> Associate Professor candidates should demonstrate a strong record of peer-reviewed publications, supervision, academic leadership, and service.</p> <p> Evidence of teaching effectiveness at the university level and ability to teach online/hybrid courses.</p> <p> Bilingual Arabic-English communication is preferred; ability to teach in Arabic is an advantage where program needs require it.</p> <p> Experience with quality assurance, AACSB/OAAAQA/OQF-aligned curriculum and assessment practices, moderation, and accreditation evidence is strongly preferred.</p> <p> </p> <p> <strong>Preferred qualifications and experience:</strong> </p> <p> Professional certification such as CPA, ACCA, CMA, CIA, or equivalent.</p> <p> Industry, consultancy, audit, taxation, financial reporting, or accounting systems experience.</p> <p> Experience in student supervision, grant applications, professional training, or collaboration with accounting and finance professional bodies.</p> <p> </p> <p> <strong>AACSB-aligned contribution expected:</strong> </p> <p> Maintain academic/professional currency appropriate to the appointed rank and faculty qualification category.</p> <p> Contribute to faculty sufficiency, teaching effectiveness, Assurance of Learning, curriculum improvement, research impact, and engagement with professional/community stakeholders.</p> <p> Provide evidence for course files, assessment moderation, closing-the-loop actions, and accreditation-related reporting when required.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Business and Economics at MCBS invites applications for a full-time faculty position in Management. The successful candidate will contribute to teaching, research, student advising, program development, quality assurance, and service in a dynamic multicultural learning environment.</p> <p> </p> <p> <strong>Core teaching areas may include:</strong> </p> <p>Principles of Management; Strategic Management; Organizational Behavior; Human Resource Management; Leadership; Operations Management; Entrepreneurship; International Business; Innovation and Change Management.</p> <p> </p> <p> <strong>Key responsibilities:</strong> </p> <p> Teach undergraduate and/or postgraduate management courses in face-to-face, online, and blended modes.</p> <p> Design and update course materials, case studies, simulations, assessments, rubrics, and learning resources aligned with CLOs and PLOs.</p> <p> Use student-centered, case-based, project-based, and technology-enhanced teaching approaches.</p> <p> Conduct research and publish in peer-reviewed journals; pursue applied projects, grants, consultancy, and industry engagement.</p> <p> Advise students, supervise research projects, support internships and capstones, and mentor students for professional development.</p> <p> Participate in curriculum review, Assurance of Learning, moderation, accreditation documentation, academic committees, and continuous improvement.</p> <p> </p> <p> <strong>Required qualifications:</strong> </p> <p> Assistant/Associate Professor: PhD/DBA in Management, Business Administration, Strategy, Human Resource Management, Organizational Behavior, Operations Management, Entrepreneurship, or a closely related field from a recognized university.</p> <p> Lecturer: Master's degree in Management, Business Administration, or a closely related field from a recognized university; relevant industry experience is preferred.</p> <p> Associate Professor candidates should demonstrate a strong publication record, academic leadership, supervision experience, and service contributions.</p> <p> Evidence of effective teaching and ability to teach online/hybrid courses using appropriate learning technologies.</p> <p> Bilingual Arabic-English communication is preferred; ability to deliver courses in Arabic is an advantage for relevant programs.</p> <p> Experience with quality assurance, AACSB/OAAAQA/OQF expectations, CLO/PLO mapping, assessment moderation, and accreditation documentation is strongly preferred.</p> <p> </p> <p> <strong>Preferred qualifications and experience:</strong> </p> <p> Professional, consultancy, executive training, or industry experience in management-related fields.</p> <p> Experience teaching postgraduate courses and supervising graduate research.</p> <p> Ability to contribute to leadership development, entrepreneurship, sustainability, employability, and societal impact initiatives.</p> <p> </p> <p> <strong>AACSB-aligned contribution expected:</strong> </p> <p> Maintain academic/professional currency appropriate to the appointed rank and faculty qualification category.</p> <p> Contribute to faculty sufficiency, teaching effectiveness, Assurance of Learning, curriculum improvement, research impact, and engagement with professional/community stakeholders.</p> <p> Provide evidence for course files, assessment moderation, closing-the-loop actions, and accreditation-related reporting when required.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Business and Economics at MCBS invites applications for a full-time faculty position in Marketing. The successful candidate will teach marketing courses, produce relevant scholarly and applied research, support students, and contribute to quality assurance, accreditation, and industry engagement.</p> <p> </p> <p> <strong>Core teaching areas may include:</strong> </p> <p>Principles of Marketing; Marketing Management; Consumer Behavior; Services Marketing; Digital Marketing; Retail Management; Marketing Research; Brand Management; Marketing Analytics; Integrated Marketing Communications.</p> <p> </p> <p> <strong>Key responsibilities:</strong> </p> <p> Teach undergraduate and/or postgraduate marketing courses in face-to-face, online, and blended modes.</p> <p> Develop syllabi, digital content, case studies, assessment tasks, rubrics, and course files aligned with learning outcomes.</p> <p> Integrate current marketing practice, digital tools, analytics, Oman/GCC cases, and industry projects into teaching.</p> <p> Conduct research and publish in peer-reviewed journals; contribute to applied research, grants, consultancy, and community/industry engagement.</p> <p> Advise and mentor students, supervise projects and dissertations, and support internships, capstones, and employability activities.</p> <p> Participate in curriculum review, Assurance of Learning, moderation, program assessment, accreditation evidence preparation, and continuous improvement.</p> <p> </p> <p> <strong>Required qualifications:</strong> </p> <p> Assistant/Associate Professor: PhD/DBA in Marketing, Digital Marketing, Consumer Behavior, Services Marketing, Marketing Analytics, or a closely related field from a recognized university.</p> <p> Lecturer: Master's degree in Marketing or a closely related field from a recognized university; relevant professional marketing experience is preferred.</p> <p> Associate Professor candidates should demonstrate a sustained record of peer-reviewed publications, graduate supervision, academic leadership, and service.</p> <p> Evidence of teaching effectiveness and ability to teach online/hybrid courses using digital marketing and learning technologies.</p> <p> Bilingual Arabic-English communication is preferred; ability to teach in Arabic is an advantage for relevant programs.</p> <p> Experience with quality assurance, AACSB/OAAAQA/OQF-aligned assessment, CLO/PLO mapping, moderation, and accreditation documentation is strongly preferred.</p> <p> </p> <p> <strong>Preferred qualifications and experience:</strong> </p> <p> Professional experience or certifications in digital marketing, analytics, CRM, social media marketing, branding, market research, or marketing communications.</p> <p> Experience with live industry projects, student competitions, consultancy, or executive education.</p> <p> Ability to contribute to research clusters in consumer behavior, AI in marketing, sustainability, innovation, and Oman/GCC market studies.</p> <p> </p> <p> <strong>AACSB-aligned contribution expected:</strong> </p> <p> Maintain academic/professional currency appropriate to the appointed rank and faculty qualification category.</p> <p> Contribute to faculty sufficiency, teaching effectiveness, Assurance of Learning, curriculum improvement, research impact, and engagement with professional/community stakeholders.</p> <p> Provide evidence for course files, assessment moderation, closing-the-loop actions, and accreditation-related reporting when required.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Business and Economics at MCBS invites applications for a full-time faculty position in Aviation Management within the transportation, logistics, and safety management area. The successful candidate will teach aviation-related courses, contribute to academic development and research, advise students, and support quality assurance and accreditation activities.</p> <p> </p> <p> <strong>Core teaching areas may include:</strong> </p> <p>Aviation Management; Airline Management; Air Operations Management; Aviation Safety; Aviation Law; Air Traffic Management; Air Cargo Management; Accident Prevention and Causation; Meteorology for Aviation; Aviation Strategy and Regulation.</p> <p> </p> <p> <strong>Key responsibilities:</strong> </p> <p> Teach undergraduate aviation management courses in face-to-face, online, and blended modes.</p> <p> Develop and maintain syllabi, aviation case studies, learning resources, assessments, rubrics, course files, and practical learning activities.</p> <p> Integrate aviation industry standards, safety culture, airline operations, regulation, and Oman/GCC aviation examples into teaching.</p> <p> Conduct research and publish in peer-reviewed journals; contribute to aviation, transport, logistics, safety, and management-related scholarship.</p> <p> Advise students, supervise projects/capstones, support internships, and engage with aviation industry stakeholders.</p> <p> Participate in curriculum review, Assurance of Learning, moderation, accreditation evidence preparation, academic committees, and continuous improvement.</p> <p> </p> <p> <strong>Required qualifications:</strong> </p> <p> Assistant/Associate Professor: PhD/DBA in Aviation Management, Airline Management, Transportation Management, Logistics, Safety Management, Business Administration with aviation focus, or a closely related field from a recognized university.</p> <p> Associate Professor candidates should demonstrate peer-reviewed publications, academic leadership, supervision experience, and service.</p> <p> Evidence of teaching effectiveness and ability to teach online/hybrid courses using appropriate educational technologies.</p> <p> Bilingual Arabic-English communication is preferred; ability to teach in Arabic is an advantage where program needs require it.</p> <p> Experience with quality assurance, AACSB/OAAAQA/OQF-aligned assessment, CLO/PLO mapping, moderation, and accreditation documentation is strongly preferred.</p> <p> </p> <p> <strong>Preferred qualifications and experience:</strong> </p> <p> Industry experience with airlines, aviation safety, air operations, air traffic, logistics, or regulatory bodies.</p> <p> Professional certifications or training related to aviation, safety, transport, or logistics.</p> <p> Ability to support industry engagement, student internships, applied projects, and aviation-sector partnerships.</p> <p> </p> <p> <strong>AACSB-aligned contribution expected:</strong> </p> <p> Maintain academic/professional currency appropriate to the appointed rank and faculty qualification category.</p> <p> Contribute to faculty sufficiency, teaching effectiveness, Assurance of Learning, curriculum improvement, research impact, and engagement with professional/community stakeholders.</p> <p> Provide evidence for course files, assessment moderation, closing-the-loop actions, and accreditation-related reporting when required.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Batching Plant Mechanic (ITIMechanical, Age 30–42). 7+ yrs exp incl. 5 yrs ReadyMix; Gulf exp preferred. Duties: troubleshoot batching plant, ice &amp; chiller systems. Skills: mechanical &amp; hydraulic troubleshooting, English communication</p><p><br></p><p>Perks and benefits</p><p><br></p><p>Free Food,Accommodation,Medical,Transport</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Batching Plant Mechanic (ITIMechanical, Age 30 42). 7+ yrs exp incl. 5 yrs ReadyMix; Gulf exp preferred.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Responsable du Lot Fonctionnel SI d'un projet Nouvelle Usine MRO F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Vous êtes prêt-e à décoller avec nous ? Rejoignez l'équipe Safran Aircraft Engines : leader mondial dans la conception, la fabrication et la maintenance de moteurs d'avions civils et militaires. Ensemble, nous façonnons un avenir durable pour l'aviation et permettons à nos clients de voler en toute sécurité.<br>Dans un contexte de forte croissance du monde du service dans l'aéronautique et pour faire face à la montée en cadence de l'activité de maintenance et réparation des moteurs au sein de notre entreprise, notre Direction Support &amp; Services a lancé un projet d'implémentation d'une nouvelle usine MRO (Maintenance, Repair and Overhaul).<br>Pour préparer les premières de maintenance de moteur, la définition du besoin fonctionnel pour le système d'information doit être réalisée puis les travaux de réalisation doivent être pilotés en lien avec la DSI. <br>Pour ce faire, votre mission sera de :<br>- Piloter toutes les actions nécessaires au démarrage de l'activité en 2027 puis à la mise en place de la nouvelle usine (horizon 2028). Ce pilotage sera fait en lien avec les équipes du Système d'Information, en respectant les plannings et budget du projet.<br>Cela concerne :<br>o la mise en place des installations techniques (réseau, serveurs, postes de travail, …) en s'appuyant sur l'équipe locale mutualisée<br>o la mise en place des solutions applicatives : corporate Safran (gestion du personnel, gestion achats, …) et spécifiques à un shop MRO (SAP) en interaction avec les acteurs de la DSI.<br>En complément, vous aurez à : <br>- Structurer le lot SI avec ses jalons en cohérence avec les jalons du projet global<br>- Identifier l'ensemble des ressources nécessaires au projet<br>- Apporter tous les éléments Métier d'expression de besoin ou spécifications détaillées nécessaires à ces mises en place<br>- Piloter l'avancement des plannings<br>- Coordonner le travail des équipes concernées (support central et autres, experts fonctionnels SAP, DSI, IT local)<br>- Préparer les travaux nécessaires à la prise en main des installations<br>- Préparer les travaux nécessaires à la prise en main des applications (construction du plan de formation, pilotage du plan de formation,…)<br>- Tenir régulièrement une instance de pilotage du périmètre afin de partager l'avancement, les éventuels points durs et les risques à des fins d'arbitrage, de validation ou de décision<br>- Participer au comité de pilotage du projet global </p><br><br><p>Quelques déplacements sur nos sites en France et à l'étranger seront requis pour une meilleure connaissance des processus métier et besoins fonctionnels inhérents à nos usines MRO + des visites sur site auprès des équipes locales </p><br><br><p>Ingénieur généraliste ou orienté informatique,<br>Compétences : bonnes connaissances IT, maîtrise des méthodologies de gestion de projet, gestion des risques et des points bloquants avec anticipation des impacts, gestion des interdépendances, analyse des besoins métier, compréhension des architectures SI industrielles. <br>Savoir-être : capacité à fédérer des équipes multi métiers et multiculturelles, leadership transverse, Autonomie et prise de décision dans un contexte d'incertitude ou d'ambiguité (nouveau projet, contexte international,…), Bonne communication à l'écrit et l'oral en français et en anglais et écoute active pour désamorcer le cas échéant les tensions avec les parties prenantes. <br>Une connaissance du secteur aéronautique et des spécificités MRO serait un plus. </p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ingénieur-e en validation et vérification virtuelle FPGA F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Chez Safran Electronics &amp; Defense, leader dans le secteur de l'électronique de l'aéronautique et de défense, vos compétences en FPGA seront essentielles !<br>Intégré dans une équipe FPGA au sein de l'entité Electronique Navigation, vous interviendrez sur des produits passionnants et de haute technologie.<br>Vous aurez pour mission d'intervenir dans les différentes phases de vérification virtuelle (simulation) du FPGA, depuis la validation des exigences jusqu'à l'élaboration d'une stratégie de vérification virtuelle et la conception des environnements associés (testbench).<br>L'équipe intervenant sur des lignes de produit à fort contenu technique sur Equipements Inertiels et GNSS, le candidat aura pour objectif de mutualiser au maximum les méthodologies applicables à l'ensemble des environnement de vérification.<br>Les missions principales :<br>- Valider les exigences aux bornes du FPGA pour s'assurer de leur bonne compréhension et de leur testabilité, <br>- Imaginer la meilleure stratégie de vérification virtuelle à mettre en place (test dirigé ou aléatoire, mesure de couverture du test, ...),<br>- Elaborer les environnements de vérification en langage de description SystemVerilog,<br>- Participer aux différentes revues internes et externes avec le client (Audit de certification DO 254 envisageable)</p><br><br><p>Chez Safran Electronics &amp; Defense, vous travaillerez sur des produits innovants intégrant des fonctions avancées de traitement du signal et de traitement RF directement embarquées dans les FPGA et prendrez part à des projets passionnants qui permettent aux avions de naviguer avec une précision inégalée.<br>Venez collaborer chez Safran Electronics &amp; Defense, en interaction avec des experts de divers domaines, tels que le logiciel, le système et les capteurs, pour propulser nos projets tout en restant ancré dans l'innovation et l'excellence technique !</p><br><br><p>Diplômé BAC+5 ayant déja une expérience de la vérification par simulation FPGA ou ASIC.<br>Maitrise du langage SystemVerilog et des outils de gestion de configuration (Git).<br>Bonne qualité rédactionnelle et des compétences en autonomie de travail, communication et travail en équipe.<br>La connaissance de la méthodologie UVM est un plus.</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>LIEU&nbsp;: Neuilly sur Seine</p><br><p>Date&nbsp;: Janvier 2027</p><br><p>DUREE&nbsp;: 6 mois</p><br><p>Chanel est une entreprise indépendante qui croit en la liberté de la création, cultive le potentiel humain et s’engage activement pour avoir un impact positif dans le monde.</p><br><p>L'activité Parfums Beauté affirme sa singularité à travers une promesse : celle de révéler la beauté de chaque femme dans ce qu'elle a de plus singulier à travers son Parfum, son Maquillage et ses produits de Soin.&nbsp;</p><br><p>La mesure de la performance de CHANEL inclut le suivi de l'atteinte de nos objectifs en matière de performance environnementale, sociale et de gouvernance (ESG), à travers la collecte, l'analyse et le pilotage d'indicateurs extra-financiers.</p><br><p>Rattaché.e au Responsable Sustainability Performance &amp; Reporting, au sein d’une équipe resserrée de trois personnes, vous jouerez un rôle clé dans la mesure et le pilotage de la performance extra-financière des activités de CHANEL Parfums Beauté.</p><br><p>Votre mission principale sera de contribuer pleinement à la campagne annuelle de reporting ESG, dans le cadre des exigences de la CSRD. Vous serez ensuite amené.e à travailler sur des sujets complémentaires liés aux outils de reporting, à l’analyse de données ou au suivi de la performance, en fonction des priorités de l’équipe/de la Division.</p><br><p>Concrètement, votre quotidien sera avant tout un métier de la donnée : collecter, structurer, fiabiliser et analyser des indicateurs issus de multiples sources et systèmes d'information, pour produire des livrables de reporting rigoureux. Au-delà du reporting, votre travail contribuera directement à évaluer et améliorer la performance ESG de notre maison.</p><br><p>VOTRE IMPACT CHEZ CHANEL</p><br><ul><li><p>Collecter et consolider les données extra-financières en lien avec l'équipe Sustainability de la Division, les équipes ESG Performance du Corporate, et l'ensemble des contributeurs à la campagne (services techniques des sites, achats, supply chain, …).</p><br></li><li><p>Analyser et fiabiliser les données pour produire les livrables de reporting répondant aux exigences de la CSRD.</p><br></li><li><p>Contribuer à la préparation des présentations de résultats à destination des parties prenantes clés, dont le COMEX.</p><br></li><li><p>Participer au post-mortem de la campagne et proposer des améliorations pour les processus et le protocole de reporting.</p><br></li><li><p>Contribuer à l'audit externe des données ESG : répondre aux questions des auditeurs, coordonner la collecte des éléments de preuve et assurer le suivi des demandes.</p><br></li><li><p>Participer au développement et à l'amélioration de nos outils de reporting et de pilotage.</p><br></li><li><p>Contribuer à des sujets transverses selon les besoins de l'équipe : climat, nature, circularité, indicateurs financiers ESG, ou tout autre sujet émergent.</p><br></li><li><p>Identifier des opportunités et formuler des recommandations pour améliorer le suivi de notre performance extra-financière.</p><br></li></ul><p>CE QUE VOUS APPORTEREZ</p><br><ul><li><p>Étudiant·e en université, école de commerce ou d'ingénieur, vous êtes sensible aux enjeux ESG et à la réglementation associée (CSRD, taxonomie…), et vous vous distinguez par votre rigueur analytique et votre goût pour les chiffres.</p><br></li><li><p>Vous êtes à l'aise avec de grandes quantités de données et disposez de compétences analytiques solides.</p><br></li><li><p>Vous êtes rigoureux·se et organisé·e, capable de gérer plusieurs sujets en parallèle et de coordonner des interlocuteurs variés.</p><br></li><li><p>Vous appréciez le travail en équipe et êtes doté·e d'un bon relationnel — y compris avec des interlocuteurs que vous ne connaissez pas encore.</p><br></li><li><p>Vous êtes curieux·se, proactif·ve, et avez envie de comprendre comment fonctionne le reporting extra-financier d'une grande maison.</p><br></li><li><p>Vous maitrisez Excel et êtes à l'aise avec la manipulation de données ; un intérêt pour les outils de data visualisation (Power BI) serait apprécié.</p><br></li><li><p>Vous êtes à l'aise en anglais, tant à l'écrit qu'à l'oral.</p><br></li></ul><p>CE QUI VOUS ENTHOUSIASME ET CE QUE CHANEL PEUT VOUS OFFRIR</p><br><p>Tout au long de votre expérience, vous serez immergé(e) dans un environnement dynamique, innovant et apprenant&nbsp;; où la création et l’humain sont au cœur des préoccupations.</p><br><p>Vous rejoignez une activité singulière, aux méthodes et procédés uniques – qu’ils soient créatifs, de développement ou d’industrialisation – et évoluez aux côtés d’une diversité d’experts au savoir-faire reconnus.</p><br><p>Chez CHANEL, nous nous attachons à promouvoir une culture inclusive qui favorise l’épanouissement personnel et contribue au progrès collectif. Nous sommes convaincus que le caractère unique de chaque individu contribue à la diversité, la complémentarité et l’efficacité de nos équipes. Nous encourageons vivement votre candidature, car nous apprécions la perspective, l’expérience et le potentiel que vous pourriez apporter à CHANEL.</p><br><p>De la singularité de chacun naît la richesse de nos équipes. CHANEL valorise la diversité sous toutes ses formes.</p><br> </div>