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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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7 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Engineering » Materials
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of Twente, and collaborates strongly with other groups in the Department, such as the Sustainable Process Technology Group. Among others, the department aims to develop energy materials, and technology for
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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 The electrochemical conversion of CO2
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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the Teratom project, led by the Technical University Eindhoven, and financed by National Growth Fund NXTGEN Hightech programme: Future-proof high-tech equipment. Qualifications A PhD degree in physics, physical
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chemometrics with an interest in applied research geared towards long-term societal impact. Requirements: Completed PhD in chemistry, physics, material sciences or a related field Strong foundational knowledge
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Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
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for Experimental Physics (IoP-WZI) is part of the IoP and home to three research clusters: Quantum Gases & Quantum Information (QG&QI), Quantum Materials (QMat), and Soft Matter (SM). You will work in the Strontium
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process