85 electrical-power-engineering "https:" "https:" "https:" "https:" "https:" "https:" positions in Netherlands
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- Eindhoven University of Technology (TU/e)
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Chemical Engineering group and the ENTEG institute. A team player and open to collaborating in a consortium of other researchers and industrial partners, with regular consortium meetings. Ability
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University of Technology, Eindhoven University of Technology, TNO‐BMC, Toray Advanced Composites, TPRC, University of Twente, University of Warwick, and Victrex). Where to apply Website https
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requirements We look for candidates who have: A Master's degree (or equivalent) in Computer Science, Electrical Engineering, Biodesign, Design Engineering, or a related field Experience in building and deploying
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Civil Engineering, Mechanical, Electrical, or a closely related field. Demonstrated expertise in ESM and IAM. Experience with High Performance Computing (HPC) and large-scale dataset analysis. Strong
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1 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile
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works on the future of our power system. Job requirements We are looking for candidates who bring: A PhD in electrical engineering, power systems or a closely related field, obtained or close to
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advanced power-electronic devices and converters. We are recruiting two PhD researchers who will work as a closely connected team. One position focuses on creating wideband current-sensing technology; the
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software. Development of a Structural Health Monitoring system The ability to estimate the current state of the welded thermoplastic composite joint and the development of this state over time, is of
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning. Ability to develop, understand, and critically evaluate