PhD: Digital Twin & Multi-Timescale Electrolysis Optimization

The Faculty of Engineering and Science, Department of Energy, Section for Power Electronics System I; Aalborg; On-site; DKK 335,000 - 446,000; Full time

Job summary

Aalborg University seeks a PhD student to develop digital-twin modeling and multi-timescale optimization for electrolysis systems within the CAPeX framework. You will integrate electrolyzer models with renewable generation, power electronics, energy storage, and downstream processes to enable efficient Power-to-X operation.

The role involves collaboration with DTU, University of Toronto, Stanford, Utrecht, and potential international visits.

Qualifications

• Master's degree required in a relevant engineering discipline.
• Strong foundation in at least one: 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 comparable environment.
• Fluent written and spoken English.

Responsibilities

• Develop and validate digital twins of electrolysis systems with physics-based, data-driven, or hybrid approaches.
• Build computationally efficient models for monitoring, prediction, optimization, and control; assess accuracy and robustness.
• Investigate multi-timescale optimization linking fast dynamics to long-term planning.
• Develop optimization strategies to improve electrolyzer performance and economic operation.
• Collaborate with partners and disseminate results through publications and activities.

Skills

Python

MATLAB/Simulink

English proficiency

Education

Master's degree in energy engineering / electrical engineering / mechanical engineering / chemical engineering / control engineering

Job description

Aalborg University seeks a PhD student to develop digital-twin modeling and multi-timescale optimization for electrolysis systems within the CAPeX framework. You will integrate electrolyzer models with renewable generation, power electronics, energy storage, and downstream processes to enable efficient Power-to-X operation.

The role involves collaboration with DTU, University of Toronto, Stanford, Utrecht, and potential international visits.