Postdoc: Digital Twin for Power-to-X Optimization

The Faculty of Engineering and Science, Department of Energy, Section for applied power electronic s; Aalborg; On-site; DKK 420,000 - 520,000; Full time

Job summary

The Faculty of Engineering and Science at Aalborg University, Department of Energy, Section for Applied Power Electronic Systems, invites applications for a two-year postdoc position focusing on system-level optimization of electrolyzer digital twins within CAPeX. You will integrate electrolyzer models with renewable generation and storage, enabling efficient and economical Power-to-X operation.

The role requires a PhD, strong modelling and programming skills (Python, MATLAB/Simulink, Julia),

Qualifications

• PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field.
• Documented experience in energy-system modelling, mathematical optimization, control, digital twins, or related areas.
• Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools.
• Experience with multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling.
• Knowledge of integrated energy systems; experience with electrolyzers, hydrogen technologies, renewable-energy integration, storage, or Power-to-X systems would be an advantage.
• Strong publication record appropriate to career stage.
• Ability to conduct independent research, collaborate across disciplines, and communicate with academic and industrial partners.
• Excellent written and spoken English.

Responsibilities

• Develop an integrated, system-level digital-twin framework connecting electrolyzer models with Power-to-X components and energy systems.
• Develop system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, storage, and downstream processes.
• Apply and evaluate methods under varying renewable generation, electricity prices, and hydrogen demand, considering efficiency, flexibility, and costs.
• Validate and benchmark the framework using project data, simulations including hardware-in-the-loop, and industrial case studies.
• Collaborate with researchers and industry partners, contribute to supervision of related activities, and disseminate results through publications and conferences.

Skills

Python

MATLAB/Simulink

Julia

Hardware-in-the-Loop

Optimization methods

Energy-system modelling

English proficiency

Education

PhD in electrical engineering or related field

Tools

Simulink

Hardware-in-the-Loop

Job description

The Faculty of Engineering and Science at Aalborg University, Department of Energy, Section for Applied Power Electronic Systems, invites applications for a two-year postdoc position focusing on system-level optimization of electrolyzer digital twins within CAPeX. You will integrate electrolyzer models with renewable generation and storage, enabling efficient and economical Power-to-X operation.

The role requires a PhD, strong modelling and programming skills (Python, MATLAB/Simulink, Julia),