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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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(R, Python, MATLAB, or similar). Willingness to conduct fieldwork in Arctic conditions. Proficient in both written and oral English. You will be offered the opportunity to participate in digital
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computing (e.g., Python, Matlab, C++ or similar) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Enjoy working both independently and as part of
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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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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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or more of: GIS and spatial analysis, environmental sensing or the Internet of Things, data analysis, AI or machine learning, and simulation or environmental-performance modelling within a urban context
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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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understanding of experimental research methodology documented through coursework, projects, or publications. You must have strong programming skills in Python and experience with a modern deep-learning framework
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, structure preserving deep learning, stochastic differential equations, generative AI, numerical optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also
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meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning