PhD: Digital Twin & Multi-Timescale Optimization for Electrolysis
Aalborg University
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Job summary
Aalborg University invites applications for a 3-year PhD stipend focused on Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems. You will develop system-level digital-twin and optimization methods, integrating electrolyzer models with renewables and energy storage to enable efficient Power-to-X operation.
The role is housed in the AAU Energy department, affiliated with CAPeX, collaborating with DTU, University of Toronto, Stanford, and Utrecht.
Qualifications
- Master's degree in a relevant engineering field (energy/electrical/mechanical/chemical).
- Strong foundation in modelling, optimization, or data-driven methods.
- Experience with numerical modelling, simulation, optimization, or control.
- Good programming skills in Python, MATLAB/Simulink, or similar.
Responsibilities
- Develop and validate digital twins of electrolysis systems and related optimization methods.
- Build efficient models for monitoring, prediction, and control; assess accuracy and robustness.
- Investigate interactions across short- and long-term timescales for optimized operation.
- Collaborate with academic and industrial partners and disseminate results.
Skills
Education
Tools
Job description
Aalborg University invites applications for a 3-year PhD stipend focused on Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems. You will develop system-level digital-twin and optimization methods, integrating electrolyzer models with renewables and energy storage to enable efficient Power-to-X operation.
The role is housed in the AAU Energy department, affiliated with CAPeX, collaborating with DTU, University of Toronto, Stanford, and Utrecht.
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