117 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships in Norway
Sort by
Refine Your Search
-
Listed
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- BI Norwegian Business School
- Molde University College
- NHH Norwegian School of Economics
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nature Careers
- OsloMet
- OsloMet – Oslo Metropolitan University
- University of Stavanger
- Østfold University College
- 6 more »
- « less
-
Field
-
, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Complete your doctoral education leading
-
energy applications. You must have experience with data analysis, machine learning, or AI-supported methods applied to engineering or safety problems. PLEASE NOTE: For detailed information about what the
-
, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
-
Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The positions are 3-year doctoral research fellowships starting in 2026. The PhD candidates will be embedded
-
career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The Research
-
introduce fundamental challenges related to guidance, control, coordination, and human–machine interaction. This PhD position addresses these challenges through the development of high- Technology Readiness
-
with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
-
-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented
-
must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. (veterinary) degree, with a learning outcome corresponding to the descriptions in
-
critically and will work both independently and collaboratively within the project consortium. You should enjoy interdisciplinary research and take keen interest in learning and working as part of