9 bayesian-object-tracking Postdoctoral positions at Delft University of Technology (TU Delft)
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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project from the Dutch Polymer Institute (DPI). The main objective is to develop and validate a real-time, AI-enabled multi-sensor fusion platform for diagnostics and prognostics of polymeric bearing cages
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, continuity managers, public health, patients/community). Commitment to Open Science and research integrity; strong writing skills with a publication track record. Due to interactions with healthcare
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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to develop a robust mathematical approach to study the metastable behaviour
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surgical robots requiring precise manipulation to manufacturing systems handling delicate objects such as fruits. Working on this project positions you at the forefront of robotics in the burgeoning field
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their efficiency and reducing underwater radiated noise are key objectives in marine engineering. One promising solution lies in using fibre-reinforced materials for propellers, which offer the additional advantage
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/optimization is an advantage. Track record of scientific publications in relevant fields (thermal systems, solar energy, PV/T, energy in buildings). Ability to work independently and in a team, with strong
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design