Postdoctoral in Models for Materials: Eindhoven University of Technology (TU/e) seeks two highly motivated postdoctoral researchers for a Horizon Europe project, SIMU-LINGUA. The project aims to develop next-generation scientific foundation models (SciFMs) that merge knowledge graphs, multi-modal data, and GPU-accelerated machine learning for materials science.
Postdoctoral Researcher Positions in Scientific Foundation Models for Materials
Designation:
Postdoctoral Researcher (2 × 2-Year Appointments)
| Research Area | Location |
|---|---|
| Machine Learning, Scientific Computing | Eindhoven, Noord-Brabant, Netherlands |
Eligibility/Qualification:
- PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or related field.
- Proven ability to conduct high-quality academic research demonstrated by publications or research outputs.
- Strong programming skills in Python.
- Experience in one or more of the following areas:
- Machine learning or deep learning (e.g., PyTorch)
- Scientific data pipelines or large datasets
- Knowledge graphs or structured data systems
- GPU or distributed computing
- Scientific machine learning or physics-informed ML
- Familiarity with Linux and HPC environments is advantageous.
- Excellent communication skills in English.
Job Description:
You will contribute to the project’s core technical components in one of the following tracks:
- Track A — Scientific Data & Knowledge Graphs:
- Develop scalable scientific data infrastructures for large-scale model training, including materials ontologies and data pipelines.
- Track B — GPU-Accelerated Scientific Foundation Models:
- Design and train large-scale multi-modal foundation models and tools for training diagnostics and observability.
You will collaborate with diverse teams and have scientific ownership, contributing to publications and open-source software while shaping methodologies for scientific AI.
How to Apply:
Interested candidates should submit a complete application online, including:
- Cover letter describing motivation and qualifications.
- Curriculum vitae, including a list of publications and contact information for three references.
- List of up to five selected ‘best publications’.
Last Date for Apply:
- April 6, 2026
For additional information, please contact Prof. V. Dolean-Maini at v.dolean.maini@tue.nl or HR services M&CS at hrservices.mcs@tue.nl.
This is a fantastic opportunity to contribute to cutting-edge research in an interdisciplinary setting at a leading university.
