Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
at the Department of Mechanical Engineering and Technology Management at the Faculty of Science and Technology The PhD position is for a period of 3 years. Desired start date: 1st of April The PhD project is part of
-
at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
-
of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297344/phd-candidate-in-ai-enhan… Requirements Research FieldEngineeringEducation
-
advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
-
Required qualifications A Master's/PhD degree or equivalent in Chemical Engineering, Material Science, Material Engineering, Physical Chemistry, Water Engineering / Civil Engineering or similar
-
promotion work that will be agreed when you start. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Electronics and Telecommunication , https
-
promotion work that will be agreed when you start. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Electronics and Telecommunication , https
-
» Programming Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type
-
Fotograf Morten Hjertø 26th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in Information Structures
-
28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model