Opportunities
I enjoy working with motivated students and researchers interested in computational fluid dynamics, high-fidelity simulation and data-driven methods. Below are the current thesis proposals, the status of PhD and postdoc positions, and how to get in touch.
MSc and BSc thesis projects
I supervise thesis projects in areas such as:
- development of CFD methods in OpenFOAM
- high-fidelity simulation of turbulent and unsteady flows
- data-driven and machine learning methods for flow analysis and control
If you study at Linköping University and would like to align your thesis with my research, feel free to contact me.
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 positions
No open PhD call at the moment. The doctoral position in the ÅForsk-funded project on AI-based active flow control for hydraulic turbines was advertised in 2026; applications closed on 31 August 2026 and assessment and recruitment are now under way. Thank you to all applicants for your patience.
Future openings will be announced here and on the Linköping University vacancies page. If you are interested in the research itself, see the project page and my research themes.
Postdocs and fellowships
There are no funded postdoc openings at the moment. If you have your own funding or plan to apply for a fellowship, I am happy to discuss possible projects. I will support strong applications for external scholarships and fellowships and can host you at Linköping University.
Examples of funding for PhD candidates
- Swedish national graduate schools (e.g. WASP)
- Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks
- Other national or EU-funded PhD scholarship programmes
Examples of funding for postdocs
- Knut and Alice Wallenberg Foundation postdoc grants
- MSCA Postdoctoral Fellowships
- National mobility or international exchange programmes
How to get in touch
If you are interested in joining, email me with:
- a short CV
- a brief description of your research interests and how they connect to my research
- your background in CFD, programming and machine learning
- if relevant, your plan for applying for a scholarship or external funding