The goal of this project is to develop wall models for turbulent-flow simulations using deep-learning models. In particular, approaches based on deep reinforcement learning will be prioritized. The candidate will be co-supervised by Ricardo Vinuesa and Stefan Wallin at KTH Engineering Mechanics. The researcher will become part of the VinuesaLab research group (www.vinuesalab.com), where he/she will have the possibility to interact with several related projects dealing with large-scale turbulence simulations, deep learning and experiments. Furthermore, he/she will also have access to the multi-petaflops scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se). Finally, the researcher will become part ofthe excellent research environment FLOW (www.flow.kth.se).
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Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
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The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
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Type of employment: Temporary positionSince its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...
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