Postdoc Position in System Optimization Using Digital Twin for Power-to-X processes

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

Postdoc Position in System Optimization Using Digital Twin for Power-to-X processes

The Faculty of Engineering and Science, Department of Energy, Section for applied power electronic systems

Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes, and energy demand—to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as soon as possible hereafter.

About the project
The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolyzers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical University of Denmark (DTU), University of Toronto, Stanford University, and Utrecht University — research visits to partner facilities may form part of the position.

Your work tasks
This two-year postdoctoral project focuses on the system-level integration and optimization of electrolyzer digital twins within CAPeX — considering how component-level electrolyzer models and digital twins can be incorporated into broader Power-to-X systems involving renewable generation, power conversion, power system integration, energy and hydrogen storage, downstream processes, and energy demand. In particular, you will:

• Develop an integrated, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema.
• Develop system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand.
• Apply and evaluate these methods under technical constraints and varying renewable generation, electricity prices, and hydrogen demand, considering system efficiency, flexibility, production, and operating costs.
• Validate and benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance.
• Collaborate with researchers and industrial partners, contribute to the coordination and supervision of related research activities, and disseminate results through scientific publications, conferences, and project deliverables.

The position may also include a limited amount of teaching and supervision of bachelor's and master's students in areas related to your expertise.

Your competencies
We expect you to have:

• A 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 one or more relevant methods, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling.
• Good knowledge of integrated energy systems; experience with electrolyzers, hydrogen technologies, renewable-energy integration, storage, or Power-to-X systems would be an advantage.
• A strong scientific publication record appropriate to your career stage.
• The ability to conduct independent research, collaborate across disciplines, and communicate effectively with academic and industrial partners.
• Excellent written and spoken English.

You are not expected to be a specialist in every electrolyzer technology or optimization method. Strong system-level modelling and optimization competence, together with the ability to work across component and system boundaries, is particularly important.

Who we are
The position will be based in the section for “Applied Power Electronic Systems” at Department of Energy in Aalborg University (AAU Energy). AAU Energy is an international research department at Aalborg University dedicated to developing clean and sustainable energy systems across electrical, thermal, and mechatronic energy technologies. We offer an interdisciplinary research environment, advanced laboratory facilities, and extensive collaboration with industry and academic partners. The department has campuses in Aalborg and Esbjerg; this position is based in Aalborg. Read more at www.energy.aau.dk.

Qualification requirements
Appointment as postdoc requires academic qualifications at PhD level.

Do you have any questions?
If you have any questions about the position, you are more than welcome to contact us.

For professional questions, please contact Frede Blaabjerg, Professor, [e-mail], [phone].

Further information
Read more about our recruitment process here

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here .

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.
There is a mutual probationary period of 3 months for the position.

Salary and terms of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities and the Ministerial Order on Job Structure for Academic Staff at Universities. Furthermore, your terms of employment and salary are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) and protocol on certain terms of employment of academic staff at universities.

There is a mutual probationary period of 3 months for the position.

Aalborg University - Knowledge for the world Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.

Type of employment

Type of employment Temporary position more than 6 months

Contract type

Contract type Full time

Number of positions

Number of positions 1

Full-time equivalent 37

City

City Aalborg

County *

Country

Reference number

Reference number 2026/1136

Contact