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Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial application. It is part of activities in ARCNL’s Source Department. The research
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four years upon a positive assessment in the first 18 months; a gross monthly salary starting at € 3,204 in the first year and increasing annually up to €4,051 in the fourth year, based on full-time
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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals
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for interdisciplinary collaboration Our offer a position for 1 year, with an extension to a total of four and a half years upon successful assessment; a working week of 36 - 40 hours and a gross monthly salary between
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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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Welcome to Maastricht University! How does the human brain transform complex natural sounds into meaningful percepts, and can artificial neural networks help us understand this process? Join the
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of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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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