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ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication skills in English Desired qualifications: Publications in reputed journals and
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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, and about 70 researchers, Post Docs. and PhD students. More information can be found at https://www.ntnu.edu/indecol . Your immediate leader is Associate Professor Johan Berg Pettersen at Dept
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before the starting date Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Have programming experience in Python, specifically
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, preferably in Python or Julia, and/or R- programming language. Experience with optimization modelling and electricity market fundamentals. You must have English language skills, both written and spoken
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in Python, Julia, Matlab, R or similar languages GIS-based spatial analysis and/or geospatial data processing Knowledge of energy justice, or sustainability transitions Familiarity with renewable
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needed to be admitted to the PhD programme. Experience with data statistical analyses including knowledge of R and/or python. Experience in biodiversity- and/or ecological studies in aquatic environments
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at https://www.ntnu.edu/indecol . Your immediate leader is Associate Professor Johan Berg Pettersen at Dept. of energy and process engineering and Industrial Ecology Programme. Duties of the position Conduct
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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Documented knowledge of statistical theory and methods and core machine learning methods Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly