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application process here. About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We
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are seeking a candidate with strong expertise in high voltage engineering, hands-on laboratory experience, and a proven ability to contribute to both experimental work and research development within an active
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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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researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types
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develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent
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researchers the opportunity to develop academically and professionally through organised research training. It is a condition that the person who accepts the position applies for and is granted admission
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project Can AI interpret graphs like a human materials scientist that relates diagrams to composition temperature, pressure, synthesis, processing and uncertainty? The PhD candidate will develop and
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Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present research findings in written form through academic publications Present research
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an active role in all three studies and will develop and lead own sub-projects within each of them, in close collaboration with the supervisor team. The specific research questions of the three papers