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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you motivated to take a step towards a doctorate and open
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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contact Associate Professor Vijay Venu Vadlamudi by email at [email protected] . If you have any questions about the recruitment process, please contact Head of Office Bodil Wold by e-mail at
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» Maritime engineering Engineering » Computer engineering Computer science Architecture » Naval architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in green flotation chemistry for sustainable mineral processing - IV-27/26 Apply
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
recruitment process, please contact HR Senior Consultant Hedda Winnberg, e-mail: [email protected] . Application deadline: 01.10.2026 ----------------- For practical information about working at NTNU
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contact Professor Martin Steinert, e-mail: [email protected] . If you have any questions about the recruitment process, please contact HR Senior Consultant Hedda Winnberg, e-mail: hedda.winnberg
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial