Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Bergen
- University of Oslo
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- BI Norwegian Business School
- Molde University College
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- OsloMet – Oslo Metropolitan University
- University of South-Eastern Norway
- VID Specialized University
- 3 more »
- « less
-
Field
-
research on biometric recognition, presentation attack detection, and multimodal fusion. Coordinate the research activities with the SAFE Center. Design, collect, and manage biometric datasets (face, iris
-
10th April 2026 Languages English English English The Department of Geosciences (IGV) has a vacancy for a PhD Candidate within Rock Engineering for New Hydropower Plants - Design and Construction
-
well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering
-
subject Enjoy interdisciplinary research Present and discuss your research with other professionals (e.g. at NTNU and NINA) Are flexible and open to adjusting the plan for the project as needed Emphasis
-
15th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in RF/antenna design for GNSS reflectometry from small satellites Apply
-
, understand the impact of AI, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in artificial
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
be the Head of Department. About SFI FAST – Future Aluminium Structures SFI FAST (Future Aluminium Structures) is a national Centre for Research-based Innovation (SFI) funded by the Research Council
-
be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
-
AI-enhanced finite element methods for robust structural design. You will be part of a dynamic and internationally oriented research group with strong expertise in solid mechanics, constitutive
-
questions, theoretical perspectives, methodological design for the project and progress plan, aligned with the research objectives and expected results described above (maximum 1500 words/4 pages) Short