Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme : IV e81910a4-558b-c56c-7dcb-8daa7ba91f48 Preferred selection
-
Engineering, or Mechatronics Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background from your
-
using experimental, computational and data-driven tools for sustainable energy, environment and infrastructure applications. About the project Age-hardenable aluminium alloys are extensively utilized in
-
at NTNU and entering their final year during 2025. Such applicants will be considered for the Integrated PhD program. The position's working place is NTNU campus in Trondheim or Gjøvik. Your immediate
-
background, you may be considered if you can document that you are particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Excellent
-
considered if you can document that you are particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Excellent communication skills in English
-
toward popular science dissemination Participate in international activities such as conferences and/or workshops Teach history subjects and/or computational methods to historians Required selection
-
be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program of the Faculty of Engineering . Excellent
-
. The research group is also associated with the NTNU Energy Transition Programme which arranges monthly Energy System Seminars and the Yearly Energy Transition Week at NTNU. These formal and informal
-
outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation