Postdoctoral Researcher in AI for Longitudinal and Population Health Risk Prediction

Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Biological sciences » Other Computer science » Informatics Computer science » Programming Computer science » Other Engineering » Biomedical engineering Mathematics » Statistics Medical sciences » Other Researcher Profile Recognised Researcher (R2) Final date to receive applications 1 Sep 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

For more than 50 years, the Vrije Universiteit Brussel has stood for f
reedom, equality and solidarity
, and this is very much alive on our campuses among students and staff alike.

At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are 100% their authentic selves
. With some 4,000 employees
, we are the largest Dutch-speaking employer, in the private sector, in Brussels
; an international city with which we are only too happy to connect and where (around) our 4 campuses are located.

Add to this our principle of free research - in which self-reflection, a critical attitude and an open, creative mind around scientific and social issues are central - and you have a university that is fundamentally groundbreaking and pioneering in education and research. In short:
the VUB all over again
.

Moreover, the VUB is a member of EUTOPIA
, an alliance of like-minded European universities, all ready to reinvent themselves.

The Faculty of Engineering
, Department
Electronics and Informatics (ETRO), research group Electronics and Informatics:
Research – Development - Innovation
, is looking for a postdoctoral researcher
.

ETRO
, the Department of Electronics and Informatics () of the Vrije Universiteit Brussel (VUB), conducts fundamental and applied research in micro- and optoelectronics, multidimensional signal processing, and audiovisual computing.

ETRO collaborates closely with UZ Brussel, a top-rated university hospital recognized nationally and internationally. We are a core member of imec, the world-leading research and innovation hub in nano-electronics and digital technologies. Our team is currently a fruitful mixture of people from different nationalities. The primary working language is English.

More concretely your work package contains:

We are seeking a full-time postdoctoral researcher to join an interdisciplinary research team working at the intersection of artificial intelligence, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using heterogeneous and longitudinal data sources.

The successful candidate will contribute to research on :

• Longitudinal patient-level prediction of disease progression, deterioration, and hospitalization;
• Population-level modelling of environmental exposures and health risks;
• Interpretable and uncertainty-aware machine learning for heterogeneous health data.

This position offers the opportunity to work in a multidisciplinary environment involving engineers, data scientists, clinicians, epidemiologists, public health experts, and project partners from academia, healthcare, industry, and research organizations.

We welcome candidates with a strong research background in machine learning, biomedical data science, biostatistics, epidemiology, medical informatics, environmental health, or a related discipline. Candidates should be motivated to develop AI methods and apply them to clinically or epidemiologically meaningful research questions.

We are particularly interested in candidates with experience in longitudinal data analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by applied research questions in health and be able to bridge methodological development and real-world biomedical and public health…