PhD: Digital Twin & Multi-Timescale Electrolysis Optimization

Aalborg Universitet; Denmark; On-site; DKK 350,000 - 400,000; Full time

Benefits offered by this job

Relocation support

Danish language courses

International research collaborations

Job summary

The PhD position at Aalborg University, AAU Energy, Department of Energy, starts 1 November 2026. You will develop digital-twin and optimization methods for Power-to-X electrolysis systems, integrating models with renewable generation, storage, and energy demand.

Affiliated with CAPeX and collaborating with DTU, University of Toronto, Stanford and Utrecht, you will publish results, present at conferences, and contribute to teaching during the PhD.

Qualifications

• Master's degree in a relevant engineering field.
• Strong foundation in energy systems modelling, dynamic modelling or optimization.
• Experience with numerical modelling, simulation, or data analysis.
• Proficiency in Python and MATLAB/Simulink.

Responsibilities

• Develop digital twins and optimization methods for Electrolysis systems.
• Build computational models for monitoring, prediction and control.
• Investigate multi-timescale optimization linking fast dynamics to long-term planning.
• Collaborate with academic and industrial partners and disseminate results.

Skills

Python

MATLAB/Simulink

Data-driven modelling

Control engineering

Education

Master's degree in energy engineering, electrical engineering, mechanical engineering, chemical engineering, or control engineering

Job description

The PhD position at Aalborg University, AAU Energy, Department of Energy, starts 1 November 2026. You will develop digital-twin and optimization methods for Power-to-X electrolysis systems, integrating models with renewable generation, storage, and energy demand.

Affiliated with CAPeX and collaborating with DTU, University of Toronto, Stanford and Utrecht, you will publish results, present at conferences, and contribute to teaching during the PhD.