Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NTNU Norwegian University of Science and Technology
- University of Stavanger
- University of South-Eastern Norway
- University of Bergen
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- Oslo University Hospital
- The Norwegian School of Sport Sciences
- University of Agder
- University of Inland Norway
- 2 more »
- « less
-
Field
-
partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
-
internationally acknowledged academic journals Participate in the research group Work Motivation and Optimal Functioning Participate in relevant courses in the doctoral program Be prepared for changes in your work
-
Logistics ” and its interrelated Technological Competence Center for Arctic Logistics Operations (ArcLog) . The position is for a period of four years. The nominal length of the PhD programme is three years
-
22 Jun 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
-
Research Fellow in Algorithms at the Department of Informatics . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at
-
the EU Research Framework Programme? Not funded by a EU programme Reference Number The Marie Skłodowska-Curie Actions Doctoral Networks MSCA DN Is the Job related to staff position within a Research
-
group Work Motivation and Optimal Functioning Participate in relevant courses in the doctoral program Be prepared for changes in your work tasks after appointment Where to apply Website https
-
science can be eligible if they possess significant, demonstrable experience with optimization using physics-inspired algorithms or quantum computing frameworks. The applicant must have submitted his/her
-
communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics