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flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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. The PhD project will therefore study C-UAS concepts and contribute to develop and test solutions that are specially targeting Norwegian needs. The UAV-lab at NTNU has been one of the prime research
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. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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be developed using open-weight models. Access to model weights enables the candidate to inspect and adapt the models, investigate their internal representations, apply interpretability and verification
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contribute to aiD by developing trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. The rapid integration of wind power, battery storage, and other flexible
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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this position, you will develop and implement modern control strategies for a shipboard nuclear reactor, with a primary focus on the interface between reactor output and the ship's overall power demand. This work
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leader is Associate Professor Soledad Gonzalo Cogno. About the project The successful candidate will contribute to the development of mathematical and computational models to enquire about the mechanisms