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to heterogeneous integration based on silicon substrates. This approach combines the strengths of different materials within a single PIC platform. In particular, enhancing silicon platforms with efficient III-V
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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AB.The Computational Materials Science section offers a collaborative and intellectually stimulating environment, where researchers work across disciplines and scales, with ample opportunities
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Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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) Application Deadline 6 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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, reactive materials, biological systems, plasmas, and complex engineered processes are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Shape the future of biomaterials from waste! Job description We
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that favour subsequent copper-induced embrittlement. Team Dey within the Computational Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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AI and data-driven methods to connect material properties, processing windows, performance targets, and circularity indicators. Collaborate across disciplines with experimentalists, computational