Summary
The Vrije Universiteit Brussel (VUB) is inviting applications for a full-time PhD scholarship in the field of Computer Science. This position focuses on the development of innovative reinforcement learning algorithms to enhance public health decision-making regarding arbovirus prevention within the European Union.
PhD in Computer Science at Vrije Universiteit Brussel, Vrije Universiteit Brussel (VUB), Belgium
Designation
PhD Student (Doctoral Grant)
Research Area
- Reinforcement Learning for Public Health Decision Support
- Epidemiological Modelling
- Arbovirus Prevention (e.g., Zika and Oropouche)
Location
Brussels Humanities, Sciences & Engineering Campus, Vrije Universiteit Brussel (VUB), Belgium
Eligibility/Qualification
| Criteria | Description |
|---|---|
| Degree | Master’s in Computer Science (preferably specializing in machine learning) |
| Skills | Strong interest in reinforcement learning and AI; good programming and computational skills |
| Experience | Experience with reinforcement learning, explainable AI, and computational epidemiology is advantageous |
| Language | Proficient in English |
| Nationality | (Non-)EEA nationals must meet conditions for obtaining a valid permit for VUB |
| Work Experience | No prior assistant work exceeding 12 months |
Job Description
- Lead research on multi-criteria reinforcement learning algorithms
- Design methods for geographical structure exploitation in metapopulation models
- Investigate uncertainty-aware policy learning
- Develop explainable reinforcement learning methods for policy communication
- Collaborate on the overall epidemiological model
- Contribute to mosquito control, vaccination policies, and surveillance strategies.
- Publish research findings in leading journals and conferences
How to Apply
Interested candidates should submit the following documents via the VUB job portal:
- CV
- Motivation letter
- Diploma (not required for VUB alumni)
For questions regarding job content, contact Prof. Pieter Libin at pieter.libin@vub.be or call 0473844993.
Last Date to Apply
May 1, 2026
This post presents an opportunity for motivated individuals eager to contribute to interdisciplinary research at VUB, focusing on advanced computational methods to tackle public health challenges.
