132 parallel-computing-numerical-methods PhD positions in Ireland-University-Ranking-2024 in Norway
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- NTNU Norwegian University of Science and Technology
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-dimensional data. Develop modular methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty
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Deadline 4 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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dependencies. Existing methods often rely on restrictive assumptions or application-specific computational workflows. The PhD project aims to address these limitations by developing a unified, scalable, and
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on ship design, naval control systems and in shipping management. Within the project we are aiming to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering
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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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the development and application of industrial ecology methods, as well as the use of large data sets and scientific computing in industrial ecology. We focus on understanding resource use and
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and