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Field
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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-bandgap semiconductor technologies (SiC and GaN), advanced and intelligent control, artificial intelligence and machine learning for power electronics, digital twins, condition monitoring and predictive
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techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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resources engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Experience with hydraulic modelling, optimisation libraries, uncertainty quantification, data science, machine learning
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15 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical
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that employ novel virtual reality and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect
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of year performance bonus. Travel cost reimbursement (the possibility to travel with NS business card) Discount on membership of Erasmus Sport. Access to online learning platform GoodHabitz and wellbeing
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international levels, you will contribute to interdisciplinary collaboration, academic networks, and the co-supervision of PhD candidates.In education, responsibilities include teaching and, over time
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research combines inverse problems, numerical mathematics, optimisation, machine learning and imaging physics, with applications ranging from medical and industrial imaging to geophysics. For more