PhD Position in Health Monitoring: The Vrije Universiteit Brussel (VUB) invites applications for a fully funded PhD position focused on machine learning, AI, and data science in public health. This research is part of the Brussels Environmental Exposome (BEE) project aimed at developing a comprehensive risk prediction framework for non-communicable diseases.
PhD Position in AI-Driven Exposomic Risk Prediction and Longitudinal Health Monitoring
Designation
PhD Candidate
| Details | Information |
|---|---|
| Research Area | AI, Machine Learning, Data Science, Public Health |
| Location | VUB Etterbeek Campus, Brussels, Belgium |
| Eligibility/Qualification | Master’s degree in Computer Science, AI, Data Science, Engineering, Biomedical Engineering, or related field |
| Last Date to Apply | 01/02/2026 |
Description
The PhD candidate will develop AI and data-driven models to transform large-scale exposomic and health data into actionable risk predictions. The project aims to predict various non-communicable diseases by analyzing environmental exposures, socioeconomic contexts, and health data.
Responsibilities:
- Design spatio-temporal machine learning models, integrating various datasets.
- Develop physics-guided models for environmental exposure estimation.
- Build explainable AI pipelines to identify vulnerable populations.
- Combine deep learning with causal inference.
- Extend population-level models to longitudinal patient trajectories.
- Design dynamic risk models that adapt over time.
How to Apply
Interested candidates should submit the following documents through jobs.vub.be:
- CV
- Motivation Letter
- Diploma (if not a VUB alumnus)
- Academic Transcripts
- Optional links to GitHub, publications, or previous projects
Contact
For job content inquiries, contact Prof. Nikolaos Deligiannis at Nikolaos.Deligiannis@vub.be or call +32 (0)2 629 1683.
This is an excellent opportunity to engage in interdisciplinary research at the intersection of AI, environmental science, and public health policy. Don’t miss your chance to contribute to impactful research in a stimulating work environment!
