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Field
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to operate in a scalable and decentralized manner while achieving obstacle avoidance using onboard sensing and adapting to changes in dynamic environments. In parallel to the theoretical and algorithmic
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into high-purity powders. Using mechanochemical processing, you will investigate and control phase formation, particle size distribution, morphology, and flowability. You will then establish additive
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to address that gap. You will develop and optimise routes for converting silicon-rich waste streams into high-purity powders. Using mechanochemical processing, you will investigate and control phase formation
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affects heat and mass transfer, and how surface design can improve the efficiency of the process. As a PhD candidate in the Thermal Conversion and Storage group at the University of Twente, you will
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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the project, you will develop and optimize printable materials and fabrication processes for creating conductive tracks, electrodes and other electronic components within soft 3D structures. You will
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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vision, robotics and radar, such as NeurIPS, CVPR, ICRA, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab