Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of South-Eastern Norway
- University of Stavanger
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Oslo Metropolitan University
- Oslo University Hospital
- OsloMet
- The Norwegian School of Sport Sciences
- University of Agder
- University of Inland Norway
- 4 more »
- « less
-
Field
-
funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
-
, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
-
storage, demand‑side management, and hybrid PV–wind systems. Development of optimal strategies for increasing grid hosting capacity considering power quality, voltage stability, and losses. The research
-
ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently
-
optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open-source software and
-
, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
-
to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places
-
, particularly large language models or multi-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral
-
for multimode bosonic and hybrid quantum systems (including open-system and non-Hermitian effects). Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal
-
, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their