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both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden, embedded within
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. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer coding, such as R, Python
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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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autumn 2026. You must have proficient programming skills in Python. Employment is contingent upon the candidate’s ability to obtain the required security clearance. You must have a strong academic
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, energy system modeling, and operations research or optimization. Very good programming and modeling skills, preferably in Julia, Python, or a similar programming language. Knowledge and/or experience with
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to power and energy systems • Proficiency in Python, with experience using optimization frameworks such as Pyomo or Linopy and optimization solvers • Knowledge of advanced optimization and decomposition
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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deep learning, with a sound understanding of experimental research methodology documented through coursework, projects, or publications. You must have strong programming skills in Python and experience
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example through relevant work experience and/or peer-reviewed academic works. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills