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- UiT The Arctic University of Norway
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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Field
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document significant coursework in machine learning, pattern recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus. If your
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years with research duties exclusively, or four years with both research and 25% required duties. This will be clarified in the recruitment process. Research topic The candidate will be affiliated with
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sensors using signal processing, modelling, dynamic systems and/or artificial intelligence The candidate will work interdisciplinary and design new digital biomarkers for tracking the health status and
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process, and perform analyses of quantitative data from sensors using signal processing, modelling, dynamic systems and/or artificial intelligence The candidate will work interdisciplinary and design new
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and aquaculture. The PhD project associated with the PhD position aims to understand the degradation processes (e. g. via photodegradation, microbial degradation, temperature) of polymers (e. g., PBS
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attaching their high school diploma. International experience is an advantage. The suitable candidate must have: Experience in signal and image processing. A solid background in machine learning, statistics
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NTNU and the application process here. About the job For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. We have a vacancy for a PhD candidate
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recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus. If your master’s thesis had a strong element of mathematical modelling
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sensors using signal processing, modelling, dynamic systems and/or artificial intelligence The candidate will work interdisciplinary and design new digital biomarkers for tracking the health status and
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environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems