Postdoc: Digital Twin-Driven Power-to-X System Optimizer

Aalborg Universitet; Aalborg Kommune; On-site; DKK 420,000 - 540,000; Full time

Benefits offered by this job

None

Job summary

Aalborg University invites applications for a two-year postdoc position focused on system-level optimization of electrolyzer digital twins within CAPeX. You will integrate models with Power-to-X systems, renewables, and energy storage to improve efficiency and cost-effectiveness.

The role involves collaboration across disciplines and potential teaching responsibilities. The project emphasises interdisciplinary research, international collaboration, and dissemination through publications and

Qualifications

• PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, OR, applied mathematics, or 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 tools.

Responsibilities

• Develop an integrated, system-level digital-twin framework linking electrolyzer models with P2X components.
• Create system-level optimization and energy-management methods for electrolyzers, renewables, storage and hydrogen demand.
• Evaluate methods under varying renewables, prices and demand; assess efficiency, costs and flexibility.
• Validate framework with project data, simulations including hardware-in-the-loop, and industrial case studies.
• Collaborate with researchers and industry, supervise related activities, and disseminate results publicly.

Skills

Python

MATLAB/Simulink

Julia

Hardware-in-the-loop

Multi-objective optimization

Model predictive control

Mixed-integer optimization

Stochastic optimization

Energy-system modelling

English communication

Education

PhD in electrical engineering or closely related field

Job description

Aalborg University invites applications for a two-year postdoc position focused on system-level optimization of electrolyzer digital twins within CAPeX. You will integrate models with Power-to-X systems, renewables, and energy storage to improve efficiency and cost-effectiveness.

The role involves collaboration across disciplines and potential teaching responsibilities. The project emphasises interdisciplinary research, international collaboration, and dissemination through publications and