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Aalborg University

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

Degree Level

PhD

Field of study

Computer Science

Funding

3-year PhD stipend with salary and terms according to the Danish collective agreement and university regulations. The post is full time and includes standard PhD employment conditions; no specific stipend amount is stated. The position may include a limited amount of teaching and supervision.

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Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Mathematics
Digital Twin Technology
Control System
Physics

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About this position

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

This 3-year PhD project sits at the intersection of electrolysis systems, Power-to-X, digital twins, dynamic modelling, control, and energy-system optimization. The successful candidate will help develop system-level digital-twin and optimization methodologies that integrate electrolyzer models with renewable generation, power conversion, energy and hydrogen storage, downstream processes, and energy demand to improve flexibility, efficiency, and economic operation.

The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the Applied Power Electronic Systems section at AAU Energy. The work is based in Aalborg, Denmark, and involves collaboration with academic and industrial partners, including links to DTU, the University of Toronto, Stanford University, and Utrecht University. Research visits to partner facilities may be part of the project.

Research tasks include developing and validating physics-based, data-driven, or hybrid digital twins of electrolysis systems; building computationally efficient models for monitoring, performance prediction, optimization, and control; studying interactions across short- and long-timescale operations; and designing optimization strategies for variable renewable-energy integration. The project is strongly oriented toward modelling, simulation, optimization, control, and data analysis.

Applicants should hold a relevant master’s degree and have a strong foundation in at least one of electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling. Good programming skills in Python or MATLAB/Simulink are expected, together with solid English skills. Experience with electrolyzer technologies, model predictive control, machine learning, renewable-energy integration, or hardware-in-the-loop would be an advantage.

The PhD stipend is normally for 3 years. The student must be enrolled at the Doctoral School of Engineering and Science, complete 30 ECTS of PhD courses, gain teaching/dissemination experience, and complete an external research stay outside Aalborg University, preferably 3–6 months abroad.

How to apply: submit the required documents through Aalborg University’s recruitment system via the job advertisement. The post includes a motivation letter, CV, diplomas, a 3–5 page project description, and any publications or other relevant documents.

Funding details

3-year PhD stipend with salary and terms according to the Danish collective agreement and university regulations. The post is full time and includes standard PhD employment conditions; no specific stipend amount is stated. The position may include a limited amount of teaching and supervision.

What's required

Applicants must hold a relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical engineering, control engineering, or a related discipline. Required strengths include at least one of electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling, plus experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment are expected, along with a fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass transfer, electrochemistry, or control engineering. Good written and spoken English is required; experience with 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 is an advantage. The PhD student must be enrolled at the Doctoral School of Engineering and Science, complete 30 ECTS of PhD courses, gain teaching/dissemination experience, and complete an external research stay outside Aalborg University.

How to apply

Prepare the required application documents: motivation letter, CV, bachelor’s and master’s diplomas with grades, a 3–5 page project description, publications if any, and other relevant documents. Submit the application through Aalborg University’s recruitment system via the job advertisement on the university website.

More information can be found here

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