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Up to 30% off — ends 2 Aug
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University of Cape Town
1 month ago
Postdoctoral Research Fellowships in Artificial Intelligence, Machine Learning, and Climate Science University of Cape Town in South Africa
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
South Africa
University
University of Cape Town

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About this position
The University of Cape Town is inviting applications for two Postdoctoral Research Fellowships in Artificial Intelligence, Machine Learning, and Climate Science.
The fellowships are hosted by the Climate System Analysis Group in the Department of Environmental and Geographical Science at UCT, with research linked to climate risk management, climate adaptation, and humanitarian action in the African context.
Research themes include: climate vulnerability modeling and mapping, extreme weather forecasting and prediction, climate impact modeling, anticipatory action and humanitarian response, climate adaptation and resilience planning, and AI-supported climate risk management systems.
Applicants may also work on broader questions around AI ethics, algorithmic bias, explainability, responsible data use, and the translation of climate science into actionable decision-making.
Eligibility highlights: applicants must have completed a doctorate within the past five years and must not previously have held a full-time permanent academic or professional post. Relevant backgrounds include climate science, climate system analysis, machine learning, data science, or AI development/applications. Strong publication records, excellent English, interdisciplinary collaboration experience, and commitment to climate justice and adaptation in Africa are expected. Advanced Python, scientific visualization, explainable AI, and teaching/training experience are desirable. Applicants must already have legal authorization to live and work in South Africa; visa sponsorship is not available.
Funding: the fellowship provides R500,000–R540,000 per year for two years, plus support for conference travel and research activities. Fellows also receive access to IT and high-performance computing resources. The funding is tax-exempt under South African regulations, but no medical aid or retirement benefits are included.
How to apply: submit a single PDF containing a motivation letter, academic CV, publication record, referees’ contact details, and a published writing sample. Send the application to Dr Christopher Jack with the subject line “QCF PDRF Fellowship”.
Institution: University of Cape Town, South Africa.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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