Faculty of Engineering and Technology - Fellow/ Professor

• PhD in Computer Science/ Information Technology/ Artificial Intelligence/ Data Science or other related courses.
• Minimum 8 years of relevant tertiary/ university teaching, research, academic, and/or professional experience following attainment of the relevant postgraduate qualification.
• Demonstrated expertise in Computer Engineering, Artificial Intelligence, Computer Science, Computing or a related discipline.
• A strong and sustained record of research and scholarly publications, including publications in reputable peer-reviewed journals and recognized conference proceedings.
• Evidence of scholarly and research outputs such as journal articles, conference papers, books, book chapters, technical reports, patents, prototypes, software solutions, or other recognized research and innovation outputs.
• Experience in supervising undergraduate and/ or postgraduate research including dissertations, theses, or research projects.
• Evidence of research impact and scholarly contribution within the candidate’s field.
• Evidence of participation in or leadership of research, innovation, consultancy, externally funded projects, or industry-engagement initiatives.
• Strong academic leadership, communication, mentoring and interpersonal skills.
• Ability establish and maintain academic, research, industry, government, professional and institutional partnerships.

• An established publication record in indexed and / or internationally recognized peer-reviewed journals.
• Evidence of citations, research visibility, or other recognized indicators of scholarly
• A strong record of postgraduate research supervision, including completed postgraduate students.
• Evidence of successfully securing or participating in externally funded research projects, grants, or consultancy assignments.
• Experience leading multidisciplinary, national, regional, or international research projects.
• Evidence of patents, prototypes, software solutions, commercialized innovation, technology transfer, or other recognized innovation outputs.
• Experience serving as a reviewer, editor, conference programme committee member , or member of recognized academic or professional bodies.
• Experience in curriculum development, programme accreditation, academic quality assurance, or institutional academic leadership.
• Relevant professional or industry certifications.
• A strong national, regional, or international academic and professional network.

Submissions should be sent on or before October 21st, 2026.

• Shortlisting will be based on academic qualifications, relevant experience, and overall suitability.
• Only shortlisted candidates will be contacted for interviews.