We are looking for a PostDoc to apply machine learning methods (ML) to modeling of severe accident phenomena in nuclear power plants and risk analyses. Designs of currently operating plants, modern small modular reactors and liquid metal cooled reactors will be of interest. The ML tools will be developed and trained to predict evolution of the accident progression in time with high computational efficiency. The trained ML models will be used to solve such problems as (i) assessment of the risk of releases of radioactive products to environment, (ii) development of severe accident simulators and operator support systems to minimize the consequences of the accidents. The work will be a part of national and international collaborative projects. You will be a part of research team with several PhD students and senior researchers.
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KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more hereType of employment: Temporary position
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