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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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Field
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leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design, prototype, and experimentally validate robotic and mechatronic systems for automated
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the period of employment. The candidate will conduct their own research while working closely with the CAMELOT team. They will benefit from interaction with CAMELOT's theoretical, experimental, and
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implementation can introduce vulnerabilities that are not visible at the algorithmic level. Sensitive information may leak through power consumption, electromagnetic emissions, timing behaviour, memory or bus
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sustainable hydrogen economy in line with Norway's 2030 and 2050 hydrogen roadmap targets. Within the Research Area of Safety and Material Integrity, we are seeking a motivated PhD candidate to conduct research
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to completion of the doctoral degree within the employment period Conduct high-calibre research within the framework described above Scholarly publications Participate in the research group URGENT Be prepared
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307594/phd-candidate-to-conduct-… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional
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who can create new products, operate and maintain products, and manage projects. The Department has a variety of bachelor’s and master’s degree programmes. We conduct wide-ranging research in fields
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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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loads, resulting in highly nonlinear coupled hydrodynamic and structural behaviors. High-fidelity CFD-FEA based FSI simulations provide valuable insight but remain computationally expensive for large