Lecturer II (Computer Science): CONUASS 3
Computing and Security Technology
Academic
Lecturer I
Maximum Available Vacancies
3 Positions
Application Deadline
February 01, 2026
Experience Required
At least three (3) years post-PhD or equivalent ac...
1. JOB IDENTIFICATION
Job Identification
Lecturer II (Computer Science): CONUASS 3
Job Type
Academic
Department
Computing and Security Technology
Maximum Available Vacancies
3 Positions
2. JOB PURPOSE
Lecturer II represents the first independent computing academic rank, expected to own undergraduate courses, lead laboratories, initiate research, and translate computer science theory into practical, scalable solutions for education, industry and society.
The job’s purpose is to independently teach undergraduate Computer Science courses, initiate credible research, contribute to innovation and digital transformation initiatives, and support academic governance in line with UAST and NUC standards.
3. KEY DUTIES AND RESPONSIBILITIES
1. Teaching & Laboratory Leadership:
- Independently teach assigned Computer Science courses (theory and labs).
- Design course outlines, labs and assessments compliant with C-CMAS.
- Supervise undergraduate projects and programming assignments.
2. Research & Scholarship:
- Initiate and conduct independent or collaborative research.
- Publish scholarly articles; present at conferences; contribute to funded projects.
3. Innovation & Digital Impact:
- Lead/co-lead applied projects (software systems, data platforms, AI prototypes, educational technologies).
- Support industry collaboration and community digital-skills initiatives.
4. Academic Service & QA:
- Serve on departmental/school committees; support curriculum review and accreditation.
4. MINIMUM QUALIFICATIONS
Minimum Qualifications
PhD in Computer Science or Senate-approved cognate (Software Engineering, Information Systems, AI/Data Science with CS core).
Minimum of two (2) publications in a peer-reviewed journal.
Software artefacts, datasets or patents may be declared as supporting outputs.
4.1 Academic Qualifications (Mandatory)
PhD in Computer Science or Senate-approved cognate (Software Engineering, Information Systems, AI/Data Science with CS core).
Minimum of two (2) publications in a peer-reviewed journal.
Software artefacts, datasets or patents may be declared as supporting outputs
5. MINIMUM EXPERIENCE REQUIREMENT
At least three (3) years post-PhD or equivalent academic/industry-research experience.
Active membership of recognised national/international computing or ICT bodies.
6. REQUIRED SKILLS AND COMPETENCIES
Independent teaching; lab leadership; research initiation; software design; data analysis; ethics.
7. PERSONAL ATTRIBUTES
Analytical rigor and evidence-based decision-making.
Leadership in laboratory and project-based learning.
Professional integrity in research and software development.
Mentorship disposition and teamwork.
Commitment to Africa-relevant digital solutions.
8. CAREER STRUCTURE
Lecturer I