FULL-TIME LECTURER: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Nova Institution of Artificial Intelligence 42 views

Most institutions require at least a Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, though a PhD is often preferred for senior or research-focused roles. Recognised teaching experience or a teaching qualification can strengthen your application. Ensure your qualifications are verifiable through NQA (Namibia Qualifications Authority) recognition if obtained abroad.

You would prepare and deliver lectures, design assessments, supervise student projects and theses, and hold consultation hours. Additional duties often include curriculum development, marking, departmental meetings, and possibly research output expectations. Some roles also involve industry engagement or short-course training.

Namibian academic workplaces tend to be professional yet collegial, with respect for hierarchy and punctuality highly valued. Collaboration across departments is common, and lecturers are generally expected to be accessible to students. English is the primary medium of instruction, so strong communication skills are essential.

Typical progression moves from Lecturer to Senior Lecturer, then to Associate Professor or Head of Department, depending on performance, publications, and experience. Building a research profile and contributing to institutional development accelerates advancement. Growth may also come through leadership roles such as programme coordinator or academic dean.

Common benefits include annual leave, sick leave, medical aid contributions, and pension fund participation, typically aligned with Namibian labour law requirements. Some employers offer study leave or support for further qualifications. Specific packages vary by institution, so confirm details during the offer stage.

Applications usually require a CV, certified copies of qualifications, a cover letter, and contactable references, submitted via email or the institution's application portal. Employers look for a balance of subject-matter expertise, teaching ability, industry exposure, and evidence of research or professional development. Tailor your application to highlight both technical AI/ML skills and prior teaching or mentoring experience.