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selection criteria Knowledge of sensors and measurement techniques Experience from the industry providing sails for merchant ships Experience with Computational Fluid Mechanics Knowledge of machine learning
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
to join SIMLab at the Department of Structural Engineering, NTNU, in the field of computational mechanics, experimental mechanics, and protective structures. The project focuses on developing next
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7th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in High Performance Computing and Simulation Apply for this job See
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Research Support Positions Application Deadline 20 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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develop knowledge that supports the hydropower industry in the safe design of future dams and management of existing embankment dams, including those subjected to flexible hydropower operation. Emphasis
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. The project combines advanced computational mechanics, nonlinear finite element analysis and fluid–structure interaction to address critical challenges in civil protection and societal resilience. About the
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criteria It is an advantage if you have experience with one or more of the following topics: Experience in computational fluid mechanics. Experience in wind modelling. Numerical methods for differential