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doubts about the quality of the code produced. If you want to investigate the effect that adoption of GenAI has on software development, as well as building tools for mitigating the risks, verifying
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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research results, improve the ideas, and test them by implementation Your research will include extending and contributing to various in-house codes, including both high- and low-level programming languages
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information from correlation matrices Maintenance of the GitHub repository for the developed code Organizing and managing joint experiments with the collaboration groups You must have a two-year master's degree
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candidates with a mathematical or coding background and a willingness to develop one or both skills during their PhD studies. We welcome candidates with either a background in control engineering, operations
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python