PhD in AI-Based Flow Control for Hydropower at Linköping University
Linköping University is recruiting a
PhD student in Artificial Intelligence-Based Flow Control for Hydropower
. The project sits at the intersection of
computational fluid dynamics (CFD)
,
fluid mechanics
,
artificial intelligence
, and
deep reinforcement learning
, with a focus on developing active flow control strategies for hydraulic turbine instabilities and improving the reliability, efficiency, and operational flexibility of future hydropower systems.
The research will be carried out at the
Division of Applied Thermodynamics and Fluid Mechanics
, Department of Management and Engineering (IEI), Linköping University, in close collaboration with
Saeed Salehi
(principal supervisor) and
Håkan Nilsson
at
Chalmers University of Technology
(co-supervisor). The project is funded by the
ÅForsk Foundation
and also involves industrial partners in the Swedish hydropower sector.
Research topics include high-fidelity CFD of turbulent flows in hydraulic turbines, machine learning and reinforcement learning for control, swirling draft tube flows, vortex-induced instabilities, large-scale numerical experiments, and advanced data analysis. The position is especially relevant for candidates interested in
mechanical engineering
,
applied mathematics
,
physics
, and computational methods for renewable energy systems.
Eligibility highlights:
a Master’s degree in Mechanical Engineering, Engineering Physics, Energy Engineering, Applied Mathematics, or a related field; strong background in fluid mechanics and CFD; good programming skills; excellent English communication; and interest in AI-driven flow control and hydropower applications. Experience with OpenFOAM, Python/C++, HPC, turbulence modelling, numerical methods, and control theory is considered a merit.
Funding and employment:
the position is a funded PhD employment for four years full-time equivalent, initially for one year and renewable based on progress, with possible extension up to five years depending on teaching and departmental duties. Salary follows local PhD salary progression at Linköping University.
Application deadline:
31 August 2026. Applicants should apply via the university vacancy page and include a brief statement of interest (maximum two pages) describing background, research interests, and motivation.
