Part time Offered Salary :

Lecturer in Data Science and Artificial Intelligence at KCA University (KCAU). Nairobi

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Job Description


To facilitate quality learning through teaching, administration and academic advisory work and ensure an outstanding student learning experience.


  • 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 the development, administration and marking of exams, assignments and continuous assessments tests.
  • Assist in the development of 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 referring student to support services as appropriate.
  • Contribute to the development, planning and implementation of high quality curriculum.
  • Participate in supervision and assisting of undergraduate and post graduate students in their research work.
  • Carry out research and produce publications, as well as other research outputs, in line with personal objectives agreed in the Faculty Annual Assessment Review (FAAR)
  • Participate in writing of research proposals and applying of research grants.
  • Contribute and participate in the development in the departmental and faculty seminars aimed at sharing research outcomes and building interdisciplinary collaboration within and outside the department.
  • Develop and apply innovative and appropriate learning techniques and material which create interest, understanding and enthusiasm amongst students;
  • Contribute to departmental, faculty and/or University wide working groups or committee as, 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’ examination, assignments and continuous assessments tests and ensure they are keyed in examination records management system in time;
  • Attend departmental, Faculty and University-wide meetings with other staff members;


  • Master’s degree in computer science/ data science/ actuarial science/ information technology/ information systems or related field
  • At least 3 years’ teaching experience in data science and/or artificial intelligence at university level
  • Experience in curriculum development and reviews
  • PhD Degree in Computer Science/ Data Science/ Actuarial Science/ Information Technology/ Information Systems or a relevant field will be an added advantage.
  • Candidates with a PhD degree should have published at least 2 peer reviewed articles in distinguished academic journals.
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