Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Apply for this job Deadline 2nd November 2025 Employer NTNU - Norwegian University of Science and Technology
-
. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering Doctoral Programme - PhD - Faculty of Engineering Science - NTNU within three months of your
-
that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Faculty of Engineering https://www.ntnu.edu/iv/doctoral-programme . For communication and co
-
meet the requirements for admission to the Faculty of Engineering https://www.ntnu.edu/iv/doctoral-programme . For communication and co-operation with the Nordic industry players, good oral and written
-
algorithms to tackle complex dynamical systems. This PhD offers the opportunity to work in a vibrant research environment at the Department of Engineering Cybernetics and NORCE, alongside experts in control
-
IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT
-
detrimental interactions. To embed grid support functionalities aimed to ensure stability and improve power quality into control algorithms and energy management strategies of the target isolated power system
-
environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
-
, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim
-
and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI