Opportunities
I enjoy working with motivated students and researchers who are interested in computational fluid dynamics, high-fidelity simulations, and data-driven methods.
MSc and BSc Thesis Projects
I supervise thesis projects in areas such as:
- Development of CFD methods in OpenFOAM
- High-fidelity simulations of turbulent and unsteady flows
- Data-driven and machine learning methods for flow analysis and control
If you are studying at Linköping University and would like to align your thesis with my research, feel free to reach out.
Available MSc Thesis Proposals
Accelerating reinforcement-learning-based flow control using transfer learning
Spectral POD and autoencoders for compression and prediction of vortex rope
PhD and Postdoc Opportunities
Open PhD Position
There is currently an open PhD position in the group on AI-based active flow control for hydraulic turbines, funded by the ÅForsk Foundation.
Application deadline: August 31, 2026
Postdoc Opportunities
At the moment there are no funded postdoc openings. If you have your own funding or plan to apply for a fellowship, I am open to discussing possible projects.
Information for Prospective PhDs and Postdocs
I am always open to discussing possibilities with motivated PhD candidates and postdoctoral researchers.
Even if there are no funded positions available at the moment, I am glad to support applications for external scholarships and fellowships and can host you at Linköping University.
Examples of funding opportunities for PhD candidates
- Swedish national graduate schools (e.g. WASP)
- Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks
- Other national or EU-based PhD scholarship programs
Examples of funding opportunities for postdoctoral researchers
- Knut and Alice Wallenberg Foundation postdoc grants
- Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships
- National mobility or international exchange programs
How to Get in Touch
If you are interested in joining, please send me:
1. A short CV
2. A brief description of your research interests and how they connect to my research
3. Information about your background in CFD, programming, and machine learning
4. (If relevant) A detailed plan for applying for a scholarship or external funding