PhD Stipend in Electrolysis Systems at Aalborg University, Denmark

Summary

Aalborg University is offering a 3-year PhD position focused on the digital twin modelling and multi-timescale optimization of electrolysis systems. This role is crucial for developing the digital infrastructure of future Power-to-X (P2X) plants, aiming for more efficient, flexible, and economically viable operations. The successful candidate will join an interdisciplinary team and contribute to cutting-edge research in sustainable energy systems.

PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems at Aalborg University

Designation

PhD Stipend

Scholarship Details

Research Area

The PhD project is situated at the intersection of digital twins, multi-timescale optimization, and integrated Power-to-X systems. Key research tasks include:

• Developing and validating physics-based, data-driven, or hybrid digital twins of electrolysis systems for monitoring, state estimation, and performance prediction.
• Building computationally efficient models suitable for real-time implementation, performance prediction, optimization, and control.
• Investigating interactions across operational timescales (multi-timescale optimization) from short-term management to longer-term production scheduling.
• Developing optimization strategies to enhance electrolyzer performance, efficiency, flexibility, and economic operation under variable electricity supply and renewable energy integration.
• Collaborating with academic and industrial partners, disseminating results through publications and conferences.

Location

Aalborg, Denmark

Eligibility/Qualification

Required Competencies:

• A relevant Master’s degree in energy engineering, electrical engineering, mechanical engineering, chemical engineering, control engineering, or a related discipline.
• A strong foundation in at least one of: electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling.
• Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis.
• Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment.
• A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass transfer, electrochemistry, or control engineering.
• Ability to conduct independent, systematic, and scientifically rigorous research while working effectively in a multidisciplinary team.
• Good written and spoken English.

Advantageous Experience (not all required):

• Electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation.

Qualification Requirements:

• Hold a Master’s degree.
• Be enrolled as a PhD student at the Doctoral School of Engineering and Science at Aalborg University.
• Complete PhD courses corresponding to 30 ECTS.
• Gain experience with teaching or other forms of knowledge dissemination.
• Complete an external research stay outside of Aalborg University (preferably 3-6 months at a foreign research institution).

How to Apply

Applications must be submitted via Aalborg University’s recruitment system. The application should include:

1. Application stating reasons for applying and qualifications.
2. Curriculum Vitae (CV).
3. Diplomas (bachelor’s and master’s degree diploma, including grades).
4. A project description (3–5 pages) outlining initial thoughts, ideas, a brief state-of-the-art with references, a time schedule, and how project objectives will be addressed.
5. Publications, if applicable.
6. Other relevant documents.

Last Date for Apply

October 16, 2026

Apply Link

Apply Here