nGAP Lecturer AI& Computing Science

Nelson Mandela University reserves the right not to make an considering candidates for appointment into the advertised posts preference will be accorded to persons from a designated group in accordance with the approved Nelson Mandela University Employment Equity Plan.

CORE PURPOSE OF JOB

The Department of Computing Sciences (CS) is looking to fill an nGap position of Lecturer within the department with an enthusiastic forward-thinking person who will contribute to the vision and mission of the Department. There are four key areas of performance that nGap staff member in the department needs to meet namely: 1) learning and teaching 20% for the first three years then increased workload; 2) PhD studies and 3) Development of AI tools to assist in education in the department and faculty. For learning and teaching the applicant will be expected to present one module as well as supervise a few Honours students.

KEY PERFORMANCE AREAS

Learning and Teaching

Facilitate learning and teaching for one assigned module in accordance with principles of good teaching practice which includes material development engaging with students and module administration.
Supervise Honours students.

Research
Proceed with his/her own PhD studies
Manage research and development AI projects for the Department and Faculty
Generate research outputs for publication in the Departments research areas.

CORE COMPETENCIES
Related and relevant experience in the field of Computer Science specifically AI.
The ability to apply theoretical concepts to practical examples.
Evidence of the ability to supervise Postgraduate students at Honours level.
Evidence of the ability to produce research outputs.

REQUIREMENTS Lecturer
A Masters degree in Computer Science in the AI field.
The nGap minimum requirement is a 70% for Masters as well as strong potential and commitment for doctoral studies.
Minimum of 2 years related working experience in the field of Computer Science.

The following will be an added advantage:
Publication outputs in accredited journals/at discipline conferences in the area of Information Systems or Computer Science.
Experience in the presentation (either lecturing or other assistance) of AI related modules.

ADDITIONAL INFORMATION (e.g. Contact person e-mail; closing date etc)
Further information about this post can be obtained from the HOD: Computing Sciences Prof Jean Greyling email:
Note: Shortlisted candidates will be required to demonstrate a sound knowledge of chosen topics in Information Computer Science by:
Participating in an assessment related to a selected topic Computer Science specifically in AI.
Presenting a lecture on an AI related topic of the interview panels choosing.
Applications must be accompanied by a letter of motivation as to why you are suitable for the post a current curriculum vitae and the contact details of at least two referees.
The Department will endeavour to make an appointment that complements the current Computer Science/Information Systems balance in the Department.
For appointment 1 April 2026