103 Environment positions at NTNU Norwegian University of Science and Technology

PhD Candidate in Digital Twin for Circular Built Environment

sustainability, traceability, and efficiency in the circular built environment and meet the demand for recyclable materials by implementing a circular economy in the wood-based construction industry. The goal

Researcher in Robust AI

emphasis on robustness in predictive systems. There is a gap between the research on very advanced methods tested in a controllable and predictable environment and the industrial setting where

PhD Candidate in Lithium Tantalate Integrated Photonics

include: Willingness to learn new fields and adapt to a multidisciplinary research environment. Problem solver, with ability to use existing knowledge in new ways. Excellent communication skills. Emphasis

PhD Candidate within AI and Big Data

within one of the topics described above, in collaboration with the supervisors and other members of the research group. Test and evaluate the solution in simulated and real environments. Disseminate

Professor/Associate Professor in Marine Structures

of marine structures exposed to waves, current and wind in the ocean environment, which is also exposed to climate changes. Among the applications of this work are environmental loads and structural response

PhD Candidate in Circumventing avian collision risk, an aerodynamic approach

and friendly attitude and contributing to a sustainable social environment will also be valued. Emphasis will be placed on personal and interpersonal qualities. We offer exciting and stimulating tasks

PhD Candidate in Edge Intelligence

motivation for research work. Ability to work both individually and in a team environment and a high level of personal responsibility. Ability to meet deadlines and produce work of a consistently high standard

PhD Candidate in molecular-based ferroelectric materials for electrical energy storage capacitors

Science and Engineering at NTNU and work in a multidisciplinary and international environment. Information about the research group can be found here. The supervisor team will consist of Professor Mari-Ann

PhD Candidate in Demonstration of safety and reliability of novel control technologies

on ensuring safe and reliable autonomous operation at level 4, where safety aspects relate to protecting the environment and the critical subsea infrastructure. The research will address the following

PhD Candidate in AI and data-driven safety management in operation of autonomous ships

environment Emphasis will be placed on personal and interpersonal qualities. We offer exciting and stimulating tasks in a strong international academic environment an open and inclusive work environment  with