17 physics-engineer Postdoctoral research jobs at Delft University of Technology (TU Delft) in Netherlands
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30 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Geosciences » Hydrology Researcher Profile Recognised Researcher (R2) Application Deadline
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-disciplinary team with many stakeholders. In addition you have: An MSc and PhD in Geosciences, Environmental Science or Engineering, with a focus on Soil Physics, Geotechnical Engineering, or Geophysics; You
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the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers
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6 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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requirements A PhD degree in physics, materials, or electrical science and engineering Solid and proven understanding of ultrasound wave physics, transducers, signal processing, and basic electronics Advanced
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7 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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, mechanical engineering, applied physics or similar Proven experience in simulating electrochemical systems An excellent publication record Experience in studying flow dynamics (either simulation or experiments
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a candidate with: A PhD degree in Hydraulic Engineering, Marine Engineering, Earth system Science or related discipline. Experience with physical (wave) modelling is required. Being available at short
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and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental