A leading university in Kenya is seeking to recruit qualified and dedicated professionals to serve as Part-Time Lecturers in Data Science and Artificial Intelligence. This recruitment aims to strengthen the institution’s academic and research capabilities by bringing in individuals with expertise, teaching experience, and research competence in information technology and related fields.
The appointed individuals will be expected to deliver high-quality instruction, support curriculum development, mentor students, and contribute to academic research and institutional growth. The positions are part-time engagements, which means successful applicants will provide teaching and academic support on a flexible schedule while still maintaining high standards of professionalism and excellence.
The university places strong emphasis on offering students an outstanding learning experience, grounded in practical knowledge and innovative teaching approaches. In this regard, the lecturers recruited will play a central role in ensuring that the curriculum in Data Science and Artificial Intelligence remains relevant, up to date, and aligned with global trends.
Applications are invited from qualified individuals who meet the requirements as outlined below.
Job Objective
The job holder will be responsible for facilitating quality learning through teaching, academic advisory services, and administrative duties as assigned. The role is designed to support the overall mission of the institution in delivering excellence in higher education, research, and community service.
The Part-Time Lecturers in Data Science and Artificial Intelligence will provide instruction across undergraduate and postgraduate levels, design academic content, conduct assessments, and support students’ academic growth. They will also participate in collaborative research and contribute to academic innovations within their departments.
Duties and Responsibilities
The role of Part-Time Lecturer in Data Science and Artificial Intelligence comes with a diverse range of responsibilities. The appointed individuals will be expected to perform the following duties:
1. Teaching and Learning
- Deliver lectures, seminars, tutorials, workshops, and other forms of teaching across both undergraduate and postgraduate levels.
- Facilitate student learning by employing a variety of pedagogical methods that enhance understanding and knowledge retention.
- Engage students in interactive sessions to promote critical thinking, creativity, and problem-solving skills.
- Ensure that teaching sessions align with the approved curriculum and meet the institution’s quality standards.
2. Curriculum Development and Review
- Contribute to the design, development, and continuous review of curriculum in Data Science and Artificial Intelligence.
- Ensure that learning materials and teaching methodologies remain current and reflect industry needs, technological advancements, and global best practices.
- Participate in departmental discussions aimed at integrating interdisciplinary content into the curriculum.
3. Assessment and Student Evaluation
- Develop, administer, and grade examinations, assignments, and continuous assessment tests in line with university regulations.
- Maintain accurate records of student performance and provide timely feedback to learners to support their academic progression.
- Ensure that marks and records are properly entered into the examination management system in a timely and accurate manner.
4. Academic Advising and Student Support
- Provide academic guidance and mentoring to students to help them navigate their studies effectively.
- Offer feedback and support on academic challenges faced by students while directing them to relevant institutional support services when necessary.
- Undertake pastoral care responsibilities by offering academic counselling and guidance that supports student well-being and career readiness.
5. Research and Scholarly Contribution
- Participate in the development of research proposals and apply for research grants in the area of data science, artificial intelligence, and related fields.
- Engage in collaborative research projects both within the department and across other faculties of the university.
- Present research findings in departmental or faculty seminars to encourage academic discourse and foster knowledge exchange.
- Contribute to peer-reviewed publications and academic journals in areas of specialization.
6. Institutional and Departmental Service
- Participate in departmental, faculty, and university committees and working groups as assigned.
- Collaborate with colleagues in departmental initiatives such as curriculum reviews, program accreditation, and quality assurance processes.
- Attend departmental and university-wide meetings to engage in discussions on institutional development.
- Actively contribute to the academic community through participation in conferences, seminars, and workshops.
7. Professional Development
- Engage in continuous professional development to enhance teaching effectiveness, research capability, and knowledge of emerging trends in data science and artificial intelligence.
- Attend training sessions, workshops, and other professional development programs organized by the university or external bodies.
- Maintain up-to-date knowledge of innovations in higher education pedagogy and emerging technologies in the field.
8. Administration
- Maintain proper records of course outlines, schemes of work, assignments, and student progress reports.
- Prepare and submit reports as requested by the head of department or faculty leadership.
- Assist in organizing departmental events such as research days, academic conferences, and community engagement activities.
- Support the administrative work of the department by handling tasks delegated by the Chair of Department.
9. Other Responsibilities
- Undertake any additional duties as may be assigned from time to time in alignment with the needs of the department or faculty.
- Demonstrate a commitment to the institution’s mission, vision, and values in all aspects of academic and professional conduct.
Qualifications and Experience
Applicants are required to meet the following qualifications and experience criteria:
- A Master’s Degree in Information Technology, Computer Science, or a related field from a recognized and accredited university.
- A PhD in Information Technology, Computer Science, or a closely related discipline will be considered an added advantage.
- At least three years of teaching experience at the university level, with a proven record of academic delivery and research contribution.
- Demonstrated experience in curriculum development and review.
- Applicants who have achieved the academic rank of Senior Lecturer will have an added advantage.
Skills and Competencies
The role of Part-Time Lecturer requires a blend of academic expertise, communication skills, and professional competencies. Applicants are expected to possess the following skills and attributes:
- Strong verbal and written communication skills, with the ability to present complex ideas clearly and effectively.
- Excellent presentation skills suitable for diverse student groups.
- Advanced research skills and the ability to develop and execute scholarly projects.
- Strong interpersonal skills, with the ability to work effectively as part of a team.
- Critical thinking and problem-solving abilities, particularly in the application of data science and artificial intelligence concepts.
- Effective time management skills and strong attention to detail in academic delivery.
Application Procedure
Interested candidates who meet the above requirements are invited to submit the following documents:
- An application letter addressed to the recruitment office.
- A detailed Curriculum Vitae (CV) that includes contact details of three referees.
- Copies of academic and professional certificates.
- A clear copy of the Kenya National Identity Card and Kenya Revenue Authority (KRA) PIN certificate.
Applications must be submitted through the official online application form provided by the university. Applicants should ensure that all required documents are attached and that submissions are completed before the deadline.
The closing date for applications is 25th August 2025. Only shortlisted candidates will be contacted for further stages of the recruitment process.
Conclusion
The opportunity to serve as a Part-Time Lecturer in Data Science and Artificial Intelligence presents a unique chance for professionals in the field to contribute to academic excellence and shape the next generation of innovators. The role combines teaching, mentorship, research, and institutional service, making it an impactful and rewarding academic career path.
Interested applicants are encouraged to prepare their applications promptly and ensure compliance with all submission requirements. This is a significant opportunity for those who are committed to education, research, and the advancement of knowledge in one of the most dynamic and fast-growing areas of technology.
