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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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research project Arctic Ocean 2050 together with DNV and Nansen Environmental and Remote Sensing Center. The vision is to develop technology for deeper understanding of the Arctic Ocean as one
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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
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decision-making often relies on quantitative datasets that can be incomplete; this PhD aims to develop adaptive, flexible methods that account for societal attributes and existing vulnerabilities. Duties