RSS Feed Source: Academic Keys

Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active participation in committees and support institutional quality assurance and strategic initiatives. Assist with student selection, registration, and advising in line with university policies. Lead outreach and capacity-building initiatives with community and industry partners. Perform any other reasonable duties as assigned by the Head of Department or senior leadership.

Job Requirements 

A Master’s degree (NQF Level 9) in Artificial Intelligence, Computer Science, Data Science, with at least four (4) years of

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RSS Feed Source: Academic Keys

Key Performance Areas

Deliver effective and high-quality teaching, learning experiences, and assessments; supervise student research projects; contribute to departmental administration and governance, actively participate in curriculum development and review processes; engage in research activities and develop a robust portfolio of publications; participate in relevant departmental, faculty, and university committees to support institutional goals; assist in the selection and registration of students, ensuring alignment with academic standards; provide capacity-building services to the community, fostering outreach and engagement and fulfil any additional reasonable tasks and responsibilities as assigned by superiors.

 Job Requirements

A Doctorate (NQF Level 10) in Highway Engineering/Transport Engineering, Civil Engineering, or related field with at least seven (7) years of lecturing experience at tertiary education level and/or industry experience, or an equivalent combination of relevant professional experience.  Excellent English communication skills (oral and written).  Proven competence in sourcing of research or project funding

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RSS Feed Source: Academic Keys

Synopsis

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology.  

The National

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