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SA UK Bilateral Research Chair in Political Theory, University of the Witwatersrand and University of Cambridge, Professor Lawrence Hamilton

The SA UK Research Chair in Political Theory would like to invite applications for:

• 1 NRF Postdoctoral Research Fellowship

This will be available for researchers in the early stages of postdoctoral research (within 5 years of finishing their doctorate), researching a topic in political theory. 

Deadline for submissions 30 April 2026.

Click for full details of the SARChi Political Theory Research Fellowship

The Machine Intelligence & Neural Discovery (MIND) Institute at the University of the Witwatersrand invites expressions of interest from outstanding early-career researchers for Postdoctoral Fellowships in the following focus areas:

• Embodied AI & Reinforcement Learning
• µÚÒ»³Ô¹ÏÍø AI Governance, Ethics, and Leadership
• Artificial Intelligence & Procedural Content Generation

These two-year, full-time postdoctoral fellowships, based in Johannesburg, offer a unique opportunity to conduct high-impact, interdisciplinary research at one of Africa’s leading AI institutes, working closely with academic hosts across Computer Science, the Social Sciences, and the Digital Arts.

Fellows will be expected to:

• Conduct original, high-quality research aligned with the specified project themes
• Publish in leading international journals and conferences
• Contribute to postgraduate supervision and the research culture of the Institute
• Engage with interdisciplinary teams addressing both technical and societal dimensions of AI

Funding: R350,000 per annum for a fixed, consecutive two-year period.

Eligibility:

• PhD awarded within the past five (5) years
• Applicants must be 35 years or younger
• May not hold full-time salaried employment during the fellowship

The fellowship will remain open until filled.

Detailed project descriptions and requirements can be found below:

• Artificial Intelligence: Procedural Content Generation
• Reinforcement Learning: Embodied AI
• µÚÒ»³Ô¹ÏÍø AI Governance, Ethics, and Leadership

Interested candidates should complete the . 

For queries, please contact the relevant academic host listed in the project profile, or the MIND Office at info.mind@wits.ac.za.

The School of Mining Engineering at the University of the Witwatersrand invites expressions of interest from outstanding early-career researchers for Postdoctoral Fellowships in research areas in both surface and underground mining such as:

• Mine planning and optimisation
• Operations research applications in mining
• Data science and AI in mining
• Drilling and blasting optimisation
• Mine transportation systems (fleet optimisation)
• Mineral economics and valuation
• Mine ventilation and climate control
• Deep mining technology
• Just energy transition
• Critical minerals
• Environmental management, health and safety aspects in mining

The two-year, full-time postdoctoral fellowships, based in Johannesburg, offer a unique opportunity to conduct high-impact, interdisciplinary research at one of Africa’s leading mining schools, working closely with academic hosts across various disciplines and expertise.

Fellows will be expected to:

• Develop quantitative and empirical reasoning through application of scientific and mathematical principles in solving problems in the extractive industry.
• Carry out original, high-quality research projects and present findings in scientific conferences apart from publishing in scholarly leading international
• Present and communicate effectively through written, oral and use of visual communication aids when unveiling research findings or project results to mining professionals.
• Contribute to postgraduate supervision and the research culture of the school.
• Engage with interdisciplinary teams in addressing challenges in mining industry.

 
Funding: R350,000 per annum for a fixed, consecutive two-year period.

Eligibility:

• PhD in Mining Engineering and other engineering disciplines, Computer Science and any other related degree, awarded within the past five (5) years.
• Skills in any computer programming language (such as Python, MATLAB, R, etc.) is an added advantage.
• Candidates must have demonstrated evidence of strong scholarly performance, including a strong record of publications.
• May not hold full-time salaried employment during the fellowship.

The fellowship will remain open until filled.

Interested candidates should complete the .

For queries, please contact the Head of School of Mining Engineering at Paseka.Leeuw@wits.ac.za.