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for the position. Preferred selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with
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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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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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/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral communication skills in English. PLEASE NOTE: For detailed
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral
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skills will be considered an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision will be considered an advantage. Very good skills in Norwegian or other
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://www.ntnu.no/studier/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral communication skills in English. PLEASE NOTE: For
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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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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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material flow analysis, ecological risk assessment, social impact assessment. Competences in python programming. Personal characteristics To complete a doctoral degree (PhD), it is important that you are