Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- Nord University
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- University of Agder
- European Magnetism Association EMA
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- OsloMet – Oslo Metropolitan University
- UiT The Arctic University of Norway
- University of Bergen
- University of South-Eastern Norway
- 3 more »
- « less
-
Field
-
Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
-
. Simulator-based training is essential for preparing maritime professionals, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence
-
. Although automated demand response (ADR) has been widely investigated in simulation studies (“virtual experiments”), there are still relatively few examples where customized ADR solutions have been
-
simulations. The PhD project is anchored in The research group for Climate and Buildings at NMBU. The project combines building-physics modelling with multispectral/hyperspectral façade analyses, and is
-
» Cybernetics Engineering » Control engineering Engineering » Systems engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
-
areas: Developing and training robust machine learning surrogates to replace computationally expensive high-fidelity simulations, enabling exploration of vast design spaces. Formulating optimization
-
simulations.
-
of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
-
for the position. A copy of the assessment report will be sent to all applicants. The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim
-
, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph-based network analysis Exposure to resilience, reliability engineering, or security analysis (including