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Universiteit Hasselt

PhD and Postdoctoral Positions in AI, Data Science, and Scientific Machine Learning for Einstein Telescope Computing Infrastructure University of Hasselt

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Country

-

University

Universiteit Hasselt

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Keywords

Computer Science
Data Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Resource Allocation
Statistics
Physics
Gravitational Wave
Multi-agent System
Machine learning

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About this position

Data Science Institute (DSI) at the University of Hasselt is advertising PhD and postdoctoral positions within the ETCETERA project, funded by Interreg EMR. The project focuses on developing intelligent computing infrastructure for the Einstein Telescope, Europe’s next-generation gravitational-wave observatory.

The research themes include AI for workflow orchestration, resource allocation, foundation models, multi-agent systems, scientific machine learning, and large-scale computing. This is a strong fit for applicants interested in data-driven systems, high-performance or large-scale computing, and AI methods applied to scientific infrastructure.

Eligible backgrounds mentioned in the post include Data Science, Computer Science, Artificial Intelligence, Physics, Mathematics, Statistics, Engineering, or related fields. The post also highlights the need for strong analytical and programming skills and an interest in AI and large-scale computing.

Positions are available at UHasselt, KU Leuven, and UCLouvain, in collaboration with researchers and industry partners across Belgium, the Netherlands, and Germany. The stated start date is 1 October 2026.

For full details and application information, candidates should open the linked document. The post also suggests contacting Olivier THAS for more information.

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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