Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Groningen
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Leiden University
- Maastricht University (UM)
- Radboud University
- Tilburg University
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Leiden University; 's-Gravenhage
- Radboud University; 3 Oct ’25 published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); today published
- University of Groningen; Groningen
- Utrecht University; today published
- 16 more »
- « less
-
Field
-
8 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Materials engineering Engineering » Thermal engineering Physics » Optics
-
physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and
-
) physics. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track
-
or statistical analysis will be desired. Familiarity with machine learning concepts, materials informatics, or computational modelling will be considered an advantage. Candidates with an interest in acquiring
-
models). Excellent programming skills (including experience with deep learning libraries like PyTorch and JAX). Strong publication record in artificial intelligence and/or (computational) physics
-
computing in materials. You will use a combination of cryogenic scanning probe microscopy techniques beyond the state of the art in high magnetic fields. You will study (quasi) 2D materials and use atomic
-
their graduation research project. You are also encouraged to take an active role in our education program as a teaching assistant in a course related to your expertise. Job requirements PhD in experimental
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the project is to explore new material platforms to realise novel correlated
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you inspired by the quest for new materials for solar cells, spintronics, and quantum
-
7 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Condensed matter properties Physics » Quantum mechanics Researcher Profile