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/363551/phd-physics-informed-machine-le… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363551/ Work Location(s) Number of offers available1Company
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/mechmat ) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026 in order to recruit 11 outstanding
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them to practitioners and organisations in the region. Work structurally with UM's Center for Entrepreneurship & Innovation (CEI): align the UCV entrepreneurship learning line with CEI's UM-wide
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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1 Sep 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Chemistry » Heterogeneous catalysis Chemistry » Physical chemistry Engineering » Chemical
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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implementation of your research. Limited teaching responsibilities are also included in the position. As a PhD candidate, you will join the Railway Engineering Section within the Department of Engineering