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Linköping University

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PhD Student in AI-Based Flow Control for Hydropower at Linköping University Linköping University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 31, 2026

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Country

Sweden

University

Linköping University

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Mathematics
Artificial Intelligence
Reinforcement Learning
Hydraulic Engineering
High Performance Computing
Physics

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About this position

Linköping University is advertising a PhD Student in AI-Based Flow Control for Hydropower in Sweden. This interdisciplinary doctoral project sits at the intersection of Computational Fluid Dynamics (CFD) and Artificial Intelligence, with a focus on future flexible hydropower operation.

The research aims to develop deep reinforcement learning methods for active flow control of hydraulic turbine instabilities. The goal is to create novel AI-based control strategies that improve the safety and flexibility of hydropower systems under changing operating conditions.

Applicants should hold a Master's degree in Mechanical Engineering, Engineering Physics, Energy Engineering, Applied Mathematics, or a related field. A strong background in CFD and fluid mechanics is required. Helpful experience includes OpenFOAM, machine learning, deep learning, reinforcement learning, scientific programming in Python and/or C++, HPC environments, turbulence modelling, numerical methods, control theory, Linux, Git, and LaTeX.

The position is open to international applications. The closing date is 2026-08-31. Interested candidates should apply via the official Linköping University vacancy page.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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