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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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, or Materials Science. More specifically, we are looking for candidates with competence in more than one of the following areas and a willingness to learn the others: Structural Analysis and Mechanics
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engineering, building physics, material science, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting M.Sc. thesis within 30
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Apply for this job See advertisement About the position A PhD position is available in Robotics, Automation and Sensing at the Department of Mechanical Engineering and Technology Management
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD Candidate in Concrete Materials Science at
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. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We have a vacancy for a PhD Candidate in Concrete Materials Science at
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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work duties after employment. Required selection criteria You must have a relevant Master's degree in physical / chemical science, materials engineering, applied physics or equivalent. Your
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Industrial Engineering with the Materials & Manufacturing research group. Your immediate leader will be the Head of Department. You will be supervised by Associate Professor Nima Razavi and co-supervised by
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data science and material design into a research approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data