وظائف مهندس ميكاترونيكس في سلطنة عمان

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Student Intern is responsible for gaining exposure to career opportunities within the oil and gas technology industry. This person discovers Schlumberger's role in the industry and the lifestyle associated with the job.</p><br><ul><li>Learn about the oil and gas industry.</li><li>Follow prescribed internship guidelines for each week as closely as possible. Note: While the opportunity for technically-trained professionals is large, these jobs are unique in their scope and responsibility and require a special kind of individual to succeed. The internship will enable the candidate and Schlumberger determine if these requirements are met before committing to a full time job.</li></ul><p>Minimum qualification:</p><br><p>Bachelor's Degree in: <strong>Electrical, Electronics or Mechatronics Engineering ONLY</strong>.</p><br> </div>