Lecturer: New Generation of Academics Programme (nGAP) (Faculty of Science: Academy for Computer Science and Engineering Software) at University of Johannesburg

• The Lecturer position is intended for an emerging academic who shows strong potential in teaching, research, and academic service. The successful candidate will contribute to undergraduate and postgraduate teaching in Artificial Intelligence and/or Cyber Security while developing a sustainable research programme aligned with the Academy’s strategic focus areas.

Responsibilities:

The successful candidate will be expected to contribute meaningfully to the Academy's academic, research, and service activities. In particular, the incumbent will be expected to:

• Obtain a PhD in the required field, if not already held.
• Prepare and deliver lectures in Artificial Intelligence, Machine Learning, Cyber Security, and/or core Computer Science modules at undergraduate and Honours levels.
• Prepare and conduct practical sessions and laboratory-based teaching activities.
• Prepare, assess, and moderate assignments, tests, examinations, and project evaluations.
• Assist in developing and updating course materials in line with industry trends and BCS accreditation requirements.
• Demonstrate a strong commitment to excellence in teaching and innovative pedagogy, including the use of online and blended learning tools.
• Be actively involved in departmental activities, including teaching, research support, academic administration, student consultation, and community engagement initiatives.
• Develop a sustained research profile, including publishing peer-reviewed papers in accredited journals and presenting at national and international conferences.
• Actively conduct research aligned with AI, Cyber Security, or closely related fields.
• Supervise Honours and co-supervise master’s students, where appropriate.
• Contribute to the supervision and assessment of senior undergraduate and Honours projects in line with British Computer Society (BCS) standards.
• Participate in departmental academic and administrative activities, including moderation, meetings, accreditation preparation, and events such as Projects Day.
• Support the University’s Global Excellence and Stature (GES) objectives through teaching innovation, research development, and community engagement.

Minimum requirements

• A Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Cyber Security, or a closely related field with a 70% average pass mark.
• Demonstrated foundational knowledge in Artificial Intelligence and/or Cyber Security.
• Evidence of teaching experience at the tertiary level (lecturing, tutoring, lab demonstrating, or equivalent).
• Evidence of research potential, such as peer-reviewed publications, conference papers, or postgraduate research outputs.
• A strong commitment to good teaching and research.
• Sound written and verbal communication skills in English.

Recommendations:

• A completed PhD in Artificial Intelligence, Cyber Security, Computer Science, or related field or is a PhD candidate.
• Teaching experience at the undergraduate or Honours level in AI, Machine Learning, Data Science, Cyber Security, or Networking.
• Experience with BCS Graduate Attributes or equivalent accreditation frameworks.
• A developing track record of research publications in AI or Cyber Security.
• Experience working with industry partners or participating in applied computing projects.
• Demonstrated ability to work in a multidisciplinary environment.
• Ability to balance research, teaching, and academic administration effectively.

Competencies and Behavioural Attributes:

• Excellent written and verbal English communication skills.
• A team player with a passion for student development, mentorship, and research growth.
• Strong planning and organisational skills.
• Ability to apply technical knowledge to solve problems in AI and/or Cyber Security contexts.
• Ability to work under pressure and meet academic deadlines.
• Emerging ability to develop and manage an independent research trajectory.
• Strong interpersonal skills and ability to collaborate with colleagues, students, and external partners.
• Evidence of commitment to professional and academic development.
• Evidence of research capacity and motivation to build a long-term academic career.

Deadline:1st November,2026