66 computational-physics "https:" "https:" "https:" "https:" PhD scholarships in Norway
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- NTNU Norwegian University of Science and Technology
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or equivalent Skills/Qualifications Applicants must meet the following criteria: Be qualified for admission to the PhD program at the Faculty of Medicine, University of Oslo (https://www.med.uio.no/english
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regulation: https://lovdata.no/dokument/SFO/forskrift/2006-01-31-102 You will only be awarded a scholarship position if you are admitted to our PhD Logistics programme. For further reading about this programme
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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 A three-year PhD position in computational condensed matter physics is
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physics within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee at NTNU, it is important
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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engineering Engineering » Control engineering Mathematics » Applied mathematics Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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Information science Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Jan 2026 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status
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Doctoral Programme (https://www.ntnu.edu/nv/phd ) Excellent communication skills in written and spoken English PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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the position. It is a condition that the candidate satisfies the enrolment requirements for the PhD programme at the University of Bergen: https://www.uib.no/en/nt/53972/doctoral-education-phd-faculty-science
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, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co