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candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The main supervisor will be Professor Ulrik Wisløff (NTNU). Professor Dorthe Stensvold (NTNU) and Postdoctor Atefe R
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experience or strong interest in power system modeling, optimization, machine learning, and control systems. Documented programming experience (e.g., GitHub projects) in Python, Julia, MATLAB, or similar
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
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considered an advantage. Candidates should have programming skills in Python, R, or similar languages and be motivated to develop advanced modelling tools for sustainable transport planning. Your master’s
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, specifically with Python-based engineering software development and hardware interfacing. Excellent oral and written English skills Demonstrated ability to independently conduct engineering projects Demonstrated
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validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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Doctoral Programme Motivation to get proficient in Python Interest in sustainability science and strong incentive to learn Industrial Ecology methods, especially LCA analysis. Proven analytical and