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- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
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an approachable and highly experienced research team. You will explore cutting-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD
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exchange framework tailored to cyber-physical systems, addressing data confidentiality, integrity, availability, and governance constraints. Investigate and apply standards and data modeling and exchange
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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, enabling systematic and efficient exploration using modeling and simulation tools. Your responsibilities As a PhD student, you will develop and lead original research within the broad theme of reconfigurable
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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their surfaces and can be observed. Join a highly interdisciplinary ERC-funded team combining laboratory experiments, modelling and JWST data to explore the most promising extraterrestrial environments for life
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; and running regional climate model simulations to project future Greenland surface mass balance under different sea ice scenarios. You will work within a close collaboration between IMAU and AWI
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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strong energy systems knowledge, electricity, heat, and gas netwrok modelling & simulation, and research software development skills that want to develop cutting-edge knowledge and software for the energy
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this project, you will set up high resolution, realistic numerical simulations of Greenland fjords, and study the ocean dynamics and the interaction with ice. This project is a collaboration between the TU Delft