Lecturer, Data Science & Machine Learning at Kenya Methodist University (KeMU)

• Teaching and evaluation of undergraduate and postgraduate students.
• Setting, moderating, administering, processing and marking examinations.
• Academic advising and mentoring undergraduate and postgraduate students.
• Initiating, planning and conducting research.
• Development of teaching and learning materials.
• Supervising undergraduate and postgraduate students in research activities.
• Developing research proposals for funding.
• Participate in meetings and conferences related to research and building interdisciplinary collaboration within and outside the department.
• Participating in preparation of Department and Faculty strategic plans.
• Organizing and supervising educational activities for undergraduate and postgraduate students.
• Attending and participating in seminars, workshops, conferences in relevant fields.
• Participating in administrative, academic and consultancy activities in the Department and other organizations.
• Participating in planning, development, implementation and evaluation of curricula in the Department.
• Attending and participating in the Departmental meetings and other activities for effective and efficient management of the Department and Faculty.
• Performing any other duties and responsibilities as may be assigned or delegated by the Head of Department, Dean of Faculty or other Chief Officer of the University in accordance with the University Statute.

• PhD in Data Science, Machine Learning, Computer Science, Information Technology, Artificial Intelligence, from a recognized institution of higher learning.
• Master’s Degree in the above areas with at least five (5) years of university-level teaching experience.
• Demonstrated teaching experience in courses such as Python/R Programming, Artificial Intelligence, Deep Learning, Data Analytics, and Database Systems.
• Experience in supervising research and industrial attachment for undergraduate students.
• Strong proficiency in the use of LMS and digital instructional tools.
• Evidence of research and publication in relevant academic fields.
• Professional certifications (e.g., AWS, Google Analytics, Tensor Flow, and Microsoft Data Analyst) will be an added advantage.
• Membership in professional bodies such as IEEE, ACM, or Data Science Society of Kenya is desirable.
• Excellent communication, mentorship, and teamwork skills.

• Tax Compliance Certificate from Kenya Revenue Authority;
• Higher Education Loans Board;
• Ethics and Anti-Corruption Commission;
• Credit Reference Bureau;
• Certificate of Good Conduct from Criminal Investigation Department;
• Letters of recommendation (in sealed envelopes) from at least three persons familiar with the applicant’s professional experience and general character one of whom must be the pastor of their local church.

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