Join the Eindhoven University of Technology as a postdoctoral researcher in the Horizon Europe project SIMU-LINGUA, focusing on the development of scientific foundation models (SciFMs) for materials science. This project aims to advance scientific discovery by integrating knowledge graphs, multi-modal data, and GPU-accelerated machine learning, creating transparent and trustworthy AI for science. As part of a vibrant research environment, you will contribute to core technical components such as scientific data orchestration, knowledge graph architecture, and large-scale training of foundation models.

The project is structured into two primary research tracks: Track A involves developing scalable scientific data infrastructures, including materials ontologies, data ingestion and curation pipelines, multi-modal knowledge graphs, and training-ready datasets with robust provenance and validation. Track B focuses on designing and training large-scale multi-modal foundation models, leveraging GPU-accelerated PyTorch pipelines, distributed training on HPC systems, and tools for training diagnostics and observability, with potential integration of physics-aware constraints and generative modeling approaches. Both tracks interact closely, forming a data–model feedback loop to systematically analyze how scientific data, model architectures, and training dynamics influence scientific predictions.

Applicants should have a PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Essential qualifications include strong programming skills in Python, experience with scientific computing environments, and expertise in at least one of the following areas: machine learning or deep learning, scientific data pipelines or large datasets, knowledge graphs or structured data systems, GPU or distributed computing, scientific machine learning or physics-informed ML. Experience with Linux and HPC environments is advantageous. Excellent English proficiency and strong communication skills are required, along with a collaborative mindset and willingness to mentor students.

The position offers full-time employment for one year, with the possibility of extension for another year following a positive evaluation. Compensation is in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (€4,241–€5,538/month), plus a year-end bonus of 8.3% and annual vacation pay of 8%. Additional benefits include high-quality training programs, excellent technical infrastructure, on-campus childcare and sports facilities, unlimited access to the TU/e Student Sports Center, partially paid parental leave, allowances for commuting, home working, and internet costs, and support from the TU/e Postdoc Association and Staff Immigration Team. International candidates may benefit from a tax compensation scheme and moving expenses compensation.

To apply, submit a complete application online, including a cover letter, CV with publications and references, and up to five best publications. Incomplete applications may not be considered. The vacancy remains open until filled, with a deadline of April 6, 2026. For further information, contact Prof. V. Dolean-Maini at [email protected] or HR services at [email protected]. Applications sent by email or post will not be processed. A pre-employment screening may be part of the selection procedure.

Eindhoven University of Technology is a leading international institution located in Brainport Eindhoven, a world-leading tech region. The Department of Mathematics and Computer Science is the largest at TU/e, performing top-level fundamental and applied research and maintaining strong ties with industry. The university offers a dynamic and ambitious environment, fostering scientific curiosity and hands-on innovation.