PhD: Digital Twins & Multi-Timescale Electrolysis

Aalborg University; Aalborg; On-site; DKK 350,000 - 480,000; Full time

Benefits offered by this job

Relocation support

Danish language courses

Job summary

Aalborg University’s AAU Energy invites applications for a 3-year PhD position focusing on digital twins, multi-timescale optimization, and integrated Power-to-X systems. You will develop system-level digital twins, validate models, and collaborate with DTU, University of Toronto, Stanford, and Utrecht, with research visits to partners.

The position starts Nov 2026 or as soon as possible thereafter, with opportunities for teaching and supervision.

Qualifications

• Master's degree in energy engineering, electrical engineering, mechanical engineering, chemical engineering, control engineering, or related discipline.
• Strong foundation in at least one of: electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling.
• Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis.
• Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment.
• Fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass transfer, electrochemistry, or control engineering.
• Ability to conduct independent, systematic, and scientifically rigorous research while working effectively 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, performance prediction, optimization and potential real-time implementation.
• Investigate interactions across operational timescales from short-term to long-term decisions.
• Develop optimization strategies to improve electrolyzer performance, efficiency, flexibility, and economics.
• Collaborate with academic and industrial partners and disseminate results through publications, conferences, and project activities.
• The position may include teaching and supervision of bachelor’s and master’s students.

Skills

Digital twins

Optimization

Python/ MATLAB

English proficiency

Education

Master's degree in engineering/related field

Tools

MATLAB/Simulink

Python

Job description

Aalborg University’s AAU Energy invites applications for a 3-year PhD position focusing on digital twins, multi-timescale optimization, and integrated Power-to-X systems. You will develop system-level digital twins, validate models, and collaborate with DTU, University of Toronto, Stanford, and Utrecht, with research visits to partners.

The position starts Nov 2026 or as soon as possible thereafter, with opportunities for teaching and supervision.