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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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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
PhD project will combine state-of-the-art experimental testing, high-speed diagnostics, and advanced numerical simulations to investigate the response of composite armour subjected to high-velocity
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using numerical simulations, experiments data, and field measurements. Analyse the dynamic behavior of modular floating structures, including connector loads, load redistribution, resonance effects, inter
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meet the requirements for admission to the Faculty's Doctoral Programme . Experience with optimization modelling and numerical optimization tools, such as JuMP, Pyomo, Gurobi, CPLEX, HiGHS, or similar
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and mathematical analysis of solver technology for multiphase flow simulation in deformable geological porous media. Key challenges and opportunities related to the center applications include: a
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integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
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, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer science. A successful candidate will be offered a three
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data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal