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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program(https://www.ntnu.edu/studies/phiv ) Very good English skills (both
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must have a solid background in mathematics or physics, and good programming skills (e.g. Python or MATLAB). You must meet the requirements for admission to the Faculty's PhD programme in Electronics and
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and
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. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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at https://www.ntnu.edu/indecol . Your immediate leader is Dr. Martin Dorber. Prof. Francesca Verones, Assoc. Prof. Johan Berg Pettersen and Assoc. Prof. Tora Bonnevie are co-supervisors of the candidate
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE
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contributing both fundamental methodological advances and practical decision-support tools. Research environment The PhD position is part of the Norwegian Centre on AI for Decisions (aiD), https://aid-centre.no