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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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geochemistry, planetary science, archaeology, environmental science, and forensic research. The NIGEL facility (https://nigel.amsterdam/ ) headed by the MAGMAS PI is unique in the Netherlands with 2 TIMS, 2 MC
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to real-world engineering challenges. Computer Engineering or related disciplines, provided you have a strong interest in communication systems and networking. If you have a solid technical background and
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intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity with plastics recycling value chain (sorting, density separation
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26 Jun 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in AI alignment, human-AI interaction, and explainable AI, and enjoy
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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allow for more distributed and variable generation. Job requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques is beneficial. You are