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21 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Simulation engineering Researcher Profile
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
information about this assessment on … Where to apply Website https://www.academictransfer.com/en/jobs/362714/phd-position-simulating-the-air… Requirements Additional Information Website for additional job
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
different performance characteristics forcing airlines to rethink their operations well before such aircraft enter service. This PhD project will help make this transition possible! The primary focus
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, and overall system cost. This PhD project focuses on the electronic integrated circuit components of optical communication systems, with particular emphasis on the transmitter (TX) driver and receiver
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to predetermined intervals. Ultimately, this approach aims to contribute to lighter, safer, and more sustainable aircraft structures. The PhD positions Experimental characterization and digital twin development A
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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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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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PhD position to research novel fast controlled photonic integrated switches for low latency and highly scalable AI compute clusters. The electro-optical communications (ECO) group in the Faculty
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structures. The PhD positions Experimental characterization and digital twin development A key challenge in developing a reliable digital twin is accurately characterizing the static and fatigue behaviour
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ