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MSCA-PF 2026: Call for Applicants in Deep Reinforcement Learning for Flow Control (CFD) – Linköping University, Swedenhttps://euraxess.ec.europa.eu/jobs/hosting/msca-pf-2026-call-applicants-deep-reinforcement-learning-flow-control-cfd-linkopinghttps://liu.se/en/employee/saesa86Hosting InformationOffer Deadline: Tue, 30 Jun 2026 - 23:59EU Research Framework Programme: Horizon Europe - MSCACountry: SwedenWe are looking for a highly motivated postdoctoral researcher to jointly apply for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF 2026) in the area of computational fluid dynamics (CFD) and machine learning.The project will focus on data-driven and reinforcement learning approaches for flow control, with particular emphasis on robustness and generalization across operating conditions. The research will be conducted using high-fidelity CFD tools (primarily OpenFOAM) combined with modern machine learning frameworks.The host environment is the Division of Applied Thermodynamics and Fluid Mechanics at Linköping University, Sweden. The group has strong expertise in CFD, turbulence, and data-driven modeling, with ongoing research on deep reinforcement learning for flow control and multifidelity methods.We are particularly interested in candidates with a strong background in one or more of the following areas:Fluid mechanics and turbulenceComputational fluid dynamics (CFD)Machine learning / deep reinforcement learningScientific computing and programming (Python, C++)The selected candidate will work closely with the host to develop a competitive MSCA proposal.Eligibility (MSCA rules apply):PhD degree at the time of the deadlineMaximum 8 years of research experience after PhDMust comply with the MSCA mobility ruleInterested candidates should send a CV and a short statement of research interests to the host (Saeed Salehi: saeed.salehi@liu.se).