0709 813 800

PART-TIME LECTURER IN DATA SCIENCE AND ARTIFICIAL INTELLIGENCE (15 POSITIONS)

Careers

JOB OBJECTIVE

  • The job holder will be responsible for facilitating quality learning through teaching, administration, and academic advisory work and ensuring an outstanding student learning experience in the area of data science and artificial intelligence (AI).

DUTIES AND RESPONSIBILITIES:

  • Teach and facilitate learning at both undergraduate and postgraduate levels through lectures, seminars, workshops, tutorials and other learning situations as assigned by the CoD from time to time.
  • Participate in developing, administering, and marking exams, assignments, and continuous assessment tests.
  • Assist in developing learning materials, preparing schemes of work and maintaining records to monitor student progress, achievement and attendance.
  • Provide advice, guidance and feedback to students to support their academic progress and refer them to support services as appropriate.
  • Contribute to the development, planning and implementation of high-quality curriculum.
  • Participate in writing research proposals and applying for research grants.
  • Contribute and participate in the development of departmental and faculty seminars aimed at sharing research outcomes and building interdisciplinary collaboration within and outside the department.
  • Provide pastoral care to students through academic advising and counselling.
  • Contribute to departmental, faculty and/or University-wide working groups or committees as and when requested to do so.
  • Undertake continuous professional development and participate in staff development and training activities to update and enhance skills.
  • Maintain proper records of students’ examinations, assignments, and continuous assessment tests, and ensure they are keyed into the examination records management system on time.
  • Attend departmental, Faculty and University-wide meetings with other staff members.
  • Any other duties as may be assigned from time to time.

QUALIFICATIONS AND EXPERIENCE

  • Masters Degree in Information Technology, Computer Science or related field from an accredited/recognised university.
  • A PhD Degree in Information Technology, Computer Science or a relevant field in information technology will be an added advantage.
  • At least three (3) years of teaching experience at the university level.
  • Experience in curriculum development and reviews.
  • Candidates who have attained the Academic Rank of a Senior Lecturer will have an added advantage.

OTHER SKILLS AND COMPETENCIES

  • Strong verbal and written communication skills.
  • Excellent presentation skills.
  • Excellent research skills.
  • Excellent interpersonal skills and a team player.
  • Critical thinking and problem-solving skills.
  • Time management skills and attention to detail.

HOW TO APPLY

Interested candidates who meet the above requirements should submit an application letter, a detailed CV including three referees, academic & professional certificates, and a clear copy of your Kenya National ID and KRA PIN certificate via the linked form: by 25th August, 2025.

Only shortlisted candidates will be contacted.

Head of Human Capital Management,
KCA University,
P.O. Box 56808-00200,
Nairobi, Kenya
Website: www.kcau.ac.ke