Senior Lecturer (Computer Science & Mechatronics Engineering) - Full Time

Job Description

Requirements

• Doctoral qualification: Must have a PhD from a recognised institution of higher learning in any of the following or closely related disciplines: Computer Science (with research specialisation in Artificial Intelligence, Machine Learning, Computer Vision, Embedded Systems or Robotics), Computer Engineering, Computer Science & Engineering, Software Engineering, Mechatronics Engineering, Robotics Engineering, Electrical Engineering, Electrical & Electronics Engineering. Applicants with a PhD in another discipline must demonstrate a substantial research concentration relevant to the position, including Artificial Intelligence, Data Science, Data Engineering, Network Engineering, Cybersecurity, Embedded Systems, Control Systems or Industrial Automation.
• Other academic qualifications: Must have a Master’s degree and a Bachelor’s degree in relevant Science, Technology, Engineering or Mathematics (STEM) disciplines from recognised institutions of higher learning. The candidate must demonstrate a strong Mathematics background in their previous qualifications.
• Teaching experience: At least three (3) years of university teaching experience at the rank of Lecturer, with demonstrated effectiveness in teaching, assessment and student mentorship. OR should be willing to serve at a lower rank before attaining the requisite teaching experience.
• Research publications: At least two (2) recent peer-reviewed scholarly publications in disciplines relevant to the position, with evidence of an active research agenda.
• Practical and technical competence: Demonstrated ability to integrate theory with practical applications through laboratory work, software development, engineering design, prototyping or industry-based projects, as relevant to the applicant’s specialisation.
• Christian commitment: Must be a committed and a practicing Christian committed to the University’s Christian identity, mission and values.

Responsibilities

• Teach undergraduate and postgraduate courses assigned by the Head of Department, in accordance with the approved workload and areas of expertise.
• Prepare and deliver lectures, seminars, tutorials, laboratory sessions and practical activities that develop students’ knowledge, technical competence and problem-solving skills.
• Set, administer, mark and moderate assessments and examinations; provide timely feedback; and submit results within University deadlines.
• Integrate e-learning, blended learning and appropriate digital tools into teaching and assessment.
• Maintain accurate records of teaching activities, student attendance, assessment and academic progress.
• Conduct and publish high-quality research in relevant areas of Computer Science, Mechatronics Engineering and related disciplines.
• Supervise undergraduate projects and postgraduate research, including Master’s dissertations and doctoral research, in accordance with University eligibility requirements.
• Support students in developing research proposals, applying appropriate methods, observing research ethics, and producing scholarly publications and practical outputs.
• Develop research funding proposals and participate in collaborative research, innovation and consultancy projects.
• Promote interdisciplinary projects that connect computing with engineering applications, including intelligent systems, robotics, embedded systems and automation, as appropriate to the area of specialization.
• Contribute to the design, review and implementation of relevant, high-quality, competence-based curricula.
• Develop and update course outlines, learning materials, laboratory activities and assessment strategies to reflect advances in the discipline and industry needs.
• Develop specialist short courses and professional training in relevant areas.
• Mentor junior academic staff and contribute to improvements in teaching, research and supervision.
• Support programme review, accreditation activities and academic quality assurance.
• Work with technical staff to strengthen laboratory learning, effective use of equipment and safe practical training.
• Support student projects, practical bootcamps, exhibitions, competitions and other activities that demonstrate applied competence.
• Build partnerships with industry, academic institutions and professional bodies to support research, internships, practical training and knowledge exchange.
• Contribute to outreach, career guidance, programme publicity and student recruitment activities.
• Represent the Department and University in relevant scholarly and professional forums.