10 ensemble-prediction Postdoctoral positions at Delft University of Technology (TU Delft)
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are challenging to detect early with conventional single-sensor approaches. To ensure reliability and enable predictive maintenance, there is a pressing need for AI-supported, high-speed non-destructive monitoring
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subsurface hydrogen storage and calibrate reaction parameters using experimental data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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corrosion and embrittlement in reactor environments, remains incomplete, and key mechanical properties are scarce. Without reliable experimental data, our ability to develop predictive models
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evolving technological landscape of the aviation sector. The postdoctoral researcher will focus on developing prognostic methodologies capable of predicting discharge time while accounting for both battery
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durability against chloride ingress and carbonation; Predicting service life of precast SCC elements; Coupling experimental durability data with advanced numerical simulations. The researcher will be based in
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
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tools to improve flood prediction, strengthen risk assessment, and support the implementation of effective flood management strategies across the EMR. You will also develop and benchmark modelling
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case