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- European Space Agency
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); today published
- Tilburg University
- Universiteit Maastricht (UM); 27 Sep ’25 published
- University Medical Center Utrecht (UMC Utrecht)
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, electronic integration, algorithms, and end-use applications. As Assistant Professor in Photonic Neural Networks, you will: Develop an independent research program in hybrid neuromorphic photonics, spanning
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scheduling to help make offshore wind farms a reality. Job description This post-doctoral position focuses on developing fundamental algorithmic advances for dynamic planning and scheduling in multi-objective
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algorithms developed for the mission. The aim of this project is to develop and test enhanced L2 algorithms for the four hydrological parameters of HydroGNSS, leveraging a combination of machine learning
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website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
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navigation. The task also includes the development of the necessary analytical and numerical methods and software tools. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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: designing and developing prototype algorithms for ground processing of Synthetic Aperture Radar images, with a focus on X-band systems; developing Synthetic Aperture Radar image processing; validating and
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that enhance the development and evaluation of advanced analytical models using health data. This includes methods for prediction, explainability, prediction under intervention, algorithmic fairness, transparent
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teaming for exploration. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Optimisation for Robotic Mobility