Call for Applicants in Deep Reinforcement Learning for Flow Control (CFD) – Linköping University, Sweden
Host
MSCA-PF 2026: Call for Applicants in Deep Reinforcement Learning for Flow Control (CFD) – Linköping University, Sweden
https://liu.se/en/employee/saesa86
Hosting Information
Offer Deadline: Tue, 30 Jun 2026 - 23:59
EU Research Framework Programme: Horizon Europe - MSCA
Country: Sweden
We 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 turbulence
- Computational fluid dynamics (CFD)
- Machine learning / deep reinforcement learning
- Scientific 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 deadline
- Maximum 8 years of research experience after PhD
- Must comply with the MSCA mobility rule
Interested candidates should send a CV and a short statement of research interests to the host (Saeed Salehi: saeed.salehi@liu.se).
Mar 30, 2026 at 4:18 PM