66 Physics-"https:"-"https:"-"https:" PhD positions at Delft University of Technology (TU Delft)
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maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment
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the Process and Energy Department of the Mechanical Engineering Faculty (Johan Padding), in close collaboration with the Electrical Engineering Faculty of TU Delft (Mohamad Niasar) and the Chemical Engineering
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, providing a highly interdisciplinary research setting that bridges materials science, building physics, and building conservation. You will have the opportunity to work alongside research, industry, and
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candidate is encouraged to discuss and collaborate with (experimental) researchers at QuTech, as well as the Delft office of the UK company Riverlane. Requirements Master degree in physics or quantum
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-world AV–VRU interactions poorly understood. In this PhD role you will focus on employing Virtual Reality technologies to better understand this complex interaction process and explore how external Human
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
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vacancy page. Please upload your CV, motivation letter, academic transcripts, and any additional documents requested during the application process. Reference checks may be part of the selection procedure
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modelling of industrial conditions. You will analyse how different scrap recipes and loading strategies influence process performance, and investigate the movement and segregation behaviour of scrap. Based
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hold a MSc in electrical engineering, materials science, applied physics or other relevant fields. Prioir experience in cleanroom processing and/or thermal or material analysis is highly recommended. TU
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mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English