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
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- BI Norwegian Business School
- Molde University College
- NORCE Norwegian Research Centre
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- OsloMet – Oslo Metropolitan University
- VID Specialized University
- 3 more »
- « less
-
Field
-
, understand the impact of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant
-
. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
-
that evolve over time. For example, the contamination level may become critical, or on the contrary less urgent after a certain period. Two factors can be the source of such evolution, a physical one, where
-
the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive
-
, Bergen, Stavanger, Sandvika, and Tromsø. Additionally, we offer a decentralised programme at Helgeland. Through our study programmes, we train knowledgeable, reflective, and courageous professional
-
, product quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https
-
critical gaps in cybersecurity by developing a novel framework for human-AI collaboration in Security Operations Centers (SOCs) protecting critical infrastructures. Rather than relying on AI systems alone
-
leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
-
international and development economics. The doctoral programme is an important element in the department’s research excellence strategy and in BI’s vision to become one of the leading research business schools
-
Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping