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Stellenbosch University is recognised as one of the four top research universities in South Africa. It takes pride in the fact that it has one of the country’s highest proportions of postgraduate students of which almost ten percent are international students. The University lies in the picturesque Jonkershoek Valley in the heart of the Western Cape...
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Duties
Job Requirements
Closing Date: 07/11/2025
Requirements
Doctoral degree.
At least seven years' relevant management experience in higher education.
Demonstrated and detailed understanding of the South African higher education system and higher education policy framework.
Proven leadership and strategic planning abilities.
The ability to contribute to the SU strategy as a member of a senior management team.
Demonstrated experience in conducting, supervising and communicating institutional research/data for strategic decision making.
Sound interpersonal skills to lead and to work as part of a team.
The ability to function effectively in a transforming multilingual institutional culture.
The ability to think innovatively and to thrive in an interdisciplinary environment.
Proven knowledge and academic standing in the field of higher education studies, including but not limited to, teaching and learning through a recognisable body of published intellectual work.
Demonstrable understanding of current trends and debates in digitally mediated teaching and learning.
Knowledge and experience of being part of/or leading academic planning and academic renewal processes at departmental, faculty or, preferably, at institutional level.
Closing Date: 21-Nov-2025
Requirements
Closing Date: 07-Nov-2025
Requirements
A doctoral degree in Biblical Hebrew/Ancient Semitic Languages or cognate field.
A proven record of high-quality published research outputs on a continuous basis in the research areas mentioned above, demonstrating experience and versatility in these fields.
National and international recognition in the research areas above, as demonstrated by, for example, an NRF rating.
Significant experience in the teaching of Ancient Semitic Languages, and specifically Biblical Hebrew and the cultures of Ancient West Asia and North Africa.
Proven experience of successful postgraduate supervision in Biblical Hebrew or a cognate field.
Flexibility to get involved in the various curricula and modules offered by the Department.
Proficiency in the use of information technologies in the teaching and studying of Biblical
Hebrew and Ancient Cultures.
The ability to work independently as well as in a team.
Proficient communication and lecturing skills.
Closing Date: 10-Nov-2025
Requirements
Closing Date: 10-Nov-2025
Requirements
For appointment as Senior Lecturer:
A PhD in Mathematics or a closely related field.
Evidence of recent research experience in an area that will strengthen the research profile of the Mathematics Division. Preference will be given to candidates working in Number Theory, Algebra, Geometry or Analysis, but applicants from all areas of Mathematics will be considered.
A growing research publication record in high quality peer-reviewed journals and presentations at national and international conferences.
Proven experience and commitment to teaching Mathematics at both undergraduate and postgraduate level.
Successful postgraduate supervision or co-supervision (as one of the main co-supervisors) to completion, at least at master's level.
Excellent verbal and written skills in English.
Closing Date: 30-Oct-2025
Requirements
PhD in bioinformatics or a related field (e.g., Computer Science with a focus on biological applications).
Academic experience: At least eight years¿ post-PhD experience in the field of bioinformatics.
Teaching expertise: Proven ability to teach bioinformatics courses effectively at postgraduate level.
Experience supervising postgraduate students up to PhD level.
Research excellence: A strong record of peer-reviewed publications in top-tier journals related to bioinformatics or biomedical research.
Funding success: Demonstrated ability to secure external grants for research projects.
Interdisciplinary collaboration: Experience working with researchers from diverse backgrounds (biology, computer science, statistics).
Programming skills: Proficiency in programming languages such as Python, or R.
Data analysis skills: Strong background in statistical analysis techniques relevant to biological data interpretation.
Proven experience in processing and analysing high-dimensional data.
Closing Date: 27-Oct-2025
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