41 machine-learning-phd-in-netherland PhD positions at Chalmers University of Technology in Sweden
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Are you passionate about upgrading housing and building production in Sweden while fostering sustainability, circularity, and resource efficiency? This PhD project aims at investigating how Swedish
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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the possibility to teach up to 20%, which extends the position up to five years. What we offer As a PhD student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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Advance Earth Observation with 6G Satellites! Join our cutting-edge research at the intersection of satellite communication, signal processing, and Earth observation. As a PhD student, you'll help
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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We are looking for a PhD candidate fascinated by the response of sensitive clays, such as quick clays that can change from solid to liquid with small environmental perturbations. We want to be able
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment