PhD in Digital Twin Electrolysis & Multi-Timescale Optimization

Aalborg Universitet

Aalborg Kommune

On-site

DKK 350,000 - 420,000

Full time

5 days ago

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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 work within the CAPeX center and AAU Energy to develop digital-twin and optimization methods for Power-to-X processes in collaboration with international partners.

The role combines modelling, data-driven approaches, and control for integrated electrolyzer systems, renewable energy, and storage, with opportunities for teaching and

Qualifications

Master's degree in a relevant field.
Strong foundation in electrochemical or energy-system modelling, dynamic modelling and control, optimization, or data-driven modelling.
Experience with numerical modelling, simulation, optimization, control, or data analysis.
Good programming skills in Python, MATLAB/Simulink, or similar env.
Understanding of energy-conversion systems and thermodynamics.
Ability to conduct independent, rigorous research in a multidisciplinary team.
Good written and spoken English.

Responsibilities

Develop and validate digital-twin and optimization methods for electrolysis systems.
Build computationally efficient models for monitoring, prediction, optimization, and control.
Investigate multi-timescale interactions from short-term to long-term planning.
Develop optimization strategies to improve electrolyzer performance and economics.
Collaborate with partners and disseminate results via publications and conferences.

Skills

Strong modelling foundation

English proficiency

Independent research

Multidisciplinary teamwork

Education

Master's degree in energy/engineering

Tools

Python

MATLAB/Simulink

Data analysis

Job description

The role combines modelling, data-driven approaches, and control for integrated electrolyzer systems, renewable energy, and storage, with opportunities for teaching and

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