Requirements

A Doctorate (NQF Level 10) in Data Science, Informatics, Computer Science, Statistics, Information Systems, and Information Technology with at least seven (7) years of lecturing experience at tertiary education level with a combination of relevant professional experience. Excellent English communication skills (oral and written). Proven competence in successfully obtaining research or project funding from third-party sources, successful initiation, and management of research projects, leading and co-ordinating Masters’ and PhD student’s research professionally; curriculum development, and strong management/organisational and mentorship skills. Competence to develop high-quality course materials and teach in the following areas: Artificial Intelligence and Machine Learning, Software Tools for Data Science, Data Management and Ethics, Data Analytics and Optimization at post-graduate levels in particular Master’s and Ph.D. Competence to assume academic leadership, establish professional networks, and maintain links with industry, as well as experience in developing postgraduate programmes. Sound research profile of at least ten (10) peer-reviewed publications in journals/books/conference proceedings with a Google Scholar h-index of 6 and successful supervision of at least three Master’s (research) students.