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for predicting ship resistance, propulsion performance and energy efficiency using CFD and benchmark data. Design and implement multidisciplinary optimisation methods, integrating them into NeuralShipper as robust
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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for predicting ship resistance, propulsion performance and energy efficiency using CFD and benchmark data. Design and implement multidisciplinary optimisation methods, integrating them into NeuralShipper as robust
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You have a recently completed PhD in a relevant field related to post-harvest technology, with in-depth knowledge in at least two of the following areas: Post-harvest physiology and product quality
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and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with computational modelling to contribute to safer flood defences. Job
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 7 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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treat one another, work together, and measure success. Basic Qualifications: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics, Fluids, or a closely related field. Experience in
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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7th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in High Performance Computing and Simulation Apply for this job See
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CFD and FEM simulations of the coupled flow and structural response Collaborate with senior researchers and industrial partners, including regular meetings and workshops Write technical reports and