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- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
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report the skills that are relevant for the PhD positions you are applying): o continuum mechanics for large deformations o numerical mechanics and analysis (FEM simulations, meshing, etc.) o programming
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doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information Quantum computers have grown remarkably fast
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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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(CEN). The successful candidate will therefore benefit from close interaction with academia, industry, and code-development bodies, gaining access to an international research network and opportunities
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic systems as well as in flow control technologies. The group’s research is conducted within