Job descriptionThe 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). What we offer
Read more about what it is like to work at KTH QualificationsRequirements
Preferred qualifications
Great emphasis will be placed on personal skills. Trade union representativesContact information to trade union representatives. To apply for the positionLog into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad. Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time). Your application must include:
About the employmentThe 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. OthersStriving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about processing of personal data in the recruitment process. According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. About KTHKTH 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 here Apply here
Type of employment
Temporary position Contract type
Full time Full-time equivalent
Heltid First day of employment
According to agreement Salary
Monthly salary Number of positions
1 Location
Stockholm County
Stockholms län Country
Sweden Reference number
S-2024-1469 Published
16.Sep.2024 Last application date
01.Nov.2024 Contact
Ricardo Vinuesa, Associate Professor
rvinuesa@mech.kth.seStefan Wallin, Researcher
stefanw@mech.kth.se
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