17 computer-vision-and-machine-learning PhD positions at NTNU Norwegian University of Science and Technology
Sort by
Refine Your Search
-
to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
-
address this challenge using advanced experimental techniques, numerical simulations, and machine learning methods to develop high-fidelity 3D renderings of deformed samples during physical tests. By
-
employment. Required selection criteria You must have a professionally relevant background in Artificial Intelligence, Machine Learning, and Generative AI. Your education must correspond to a five-year
-
composites. You will combine experimental methods and computational modeling to push the boundaries of advanced manufacturing. Along the way, you will acquire expertise to build a foundation for a future
-
a great challenge in the ongoing quest for making future shipping sustainable. Are you also interested in ships, first-principle physics, artificial intelligence, and machine learning? Then this job
-
Excellent English skills (written and oral) Excellent computer programming skills Preferred qualifications (documentation required) Knowledge and skills in the following areas are highly relevant: estimation
-
up exciting career opportunities? Are you interested in cable technology and condition monitoring, and do you have strong competence in signal processing and machine learning? As a PhD candidate with us, you
-
28 Feb 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
-
-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent education (with a focus on interaction design, HCI, wearable computing
-
will provide experimental input to the models and for validation. If appropriate and needed, machine-learning-based approaches may also be a part of the research activities, allowing for a combination of