[Jobs] Research positions (PhDs+Postdoc) for AI in pandemic preparedness
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Pieter Libin
Jul 6, 2025, 5:26:53 PM7/6/25
to Machine Learning News
We are recruiting for the project ANTICIPATE that start in October 2025. In this initiative we will bring together reinforcement learning, epidemic modelling and genomics to help hospitals: detect respiratory viruses early, optimize pandemic response strategies and maintain care during future pandemics.
We are looking for two motivated PhD students and one motivated postdoctoral researcher, with fulltime funding for four years:
- Fully-funded PhD in fundamental reinforcement learning algorithm research to support the optimisation of pandemic response strategies, for candidates with a background in AI (master’s degree in computer science or a related domain such as physics, mathematics or applied mathematics).
- Fully-funded PhD in AI to investigate the use of reinforcement learning to learn optimal policies for pandemic response strategies in fine-grained simulators, for candidates with a background in computer science and interest in conducting practical experiments (master’s degree in computer science or a related domain such as physics, mathematics or applied mathematics).
- Fully-funded Postdoc in AI (4 years), to co-manage the ANTICIPATE project and conduct high-profile research on the boundary of algorithm development and pandemic policy mitigation, with a focus on reinforcement learning and computational biology.
Contact us via the above links if you are interested or share with your colleagues!
prof. dr. Pieter Libin
We are looking for two motivated PhD students and one motivated postdoctoral researcher, with fulltime funding for four years:
- Fully-funded PhD in fundamental reinforcement learning algorithm research to support the optimisation of pandemic response strategies, for candidates with a background in AI (master’s degree in computer science or a related domain such as physics, mathematics or applied mathematics).
- Fully-funded PhD in AI to investigate the use of reinforcement learning to learn optimal policies for pandemic response strategies in fine-grained simulators, for candidates with a background in computer science and interest in conducting practical experiments (master’s degree in computer science or a related domain such as physics, mathematics or applied mathematics).
- Fully-funded Postdoc in AI (4 years), to co-manage the ANTICIPATE project and conduct high-profile research on the boundary of algorithm development and pandemic policy mitigation, with a focus on reinforcement learning and computational biology.
Contact us via the above links if you are interested or share with your colleagues!
Kind regards,
prof. dr. Pieter Libin
AI lab, Vrije Universiteit Brussel (Brussels, Belgium)
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