29 learning PhD positions at NTNU Norwegian University of Science and Technology in Norway
Sort by
Refine Your Search
-
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
-
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
-
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
-
theory (state observers, parameter identification), mathematics of partial differential equations, modelling and simulation, machine learning/reinforcement learning. Experience with design of state- and
-
streaming data Personal characteristics Be willing to acquire new knowledge quickly, and to use existing knowledge in new ways Be able to conduct independent activities and thinking, but also enjoy working in
-
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
-
interest in learning advanced C++ programming, since a successful study will rely on being able to use the OpenFOAM library in an advanced manner. If you have a master’s degree within applied/numerical
-
that can cooperate in interdisciplinary team good analytical and critical thinking skills genuine interest in research and willingness to learn Emphasis will be placed on personal qualities. We offer
-
Detection and Machine Learning (IEL) PhD in Power Grid Modelling for Net-Zero Energy Systems (IEL) PhD in Incorporating Distribution Grids in Multiscale Stochastic Energy System Models (IØT) PhD in Aspects