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Zhengmao Li

3 months ago

PhD in AI and Quantum-Inspired Optimization for Sustainable Energy Systems at Aalto University Aalto University in Finland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded doctoral researcher position funded by the Research Council of Finland. The post includes supervision, research training, teaching experience, conference participation, and international collaboration opportunities; no tuition or stipend amount is specified.

Deadline

Aug 30, 2026

Country flag

Country

Finland

University

Aalto University

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Smart Grid Technology
Mathematics
Decision Making
Artificial Intelligence
Optimisation
Hydrogen Technology
Renewable Energy Systems

About this position

PhD opportunity at Aalto University in AI, quantum-inspired optimization, and sustainable energy systems.

The position is for a Doctoral Researcher in the Multi-energy System Planning and Operation Research Group at the School of Electrical Engineering, working with Assistant Professor Zhengmao Li. The research sits at the intersection of artificial intelligence, quantum-inspired optimization, energy-system modelling, and decision-making for complex energy systems.

Research themes include renewable energy integration, multi-energy networks, flexibility management, resilient energy infrastructure, green hydrogen, smart grids, ship and port energy systems, and energy-intensive infrastructures such as data centres. The role involves developing mathematical, data-driven, and AI-based models; designing optimization and scheduling methods; exploring quantum-inspired methods; and implementing algorithms in Python, MATLAB, Julia, or similar tools.

This is a fully funded doctoral position supported by the Research Council of Finland as part of the SiGMA project. The post is based in Espoo, Finland, and offers a collaborative, international research environment with opportunities for publications, conferences, teaching, and international collaboration.

Eligibility highlights: a Master’s degree in electrical engineering, energy systems, automation, or a related field; strong background in optimization, machine learning, reinforcement learning, or data-driven decision-making; good English; and strong motivation for research.

Deadline: 30 August 2026. Apply via Aalto’s recruitment site with a CV and motivation letter.

Funding details

Fully funded doctoral researcher position funded by the Research Council of Finland. The post includes supervision, research training, teaching experience, conference participation, and international collaboration opportunities; no tuition or stipend amount is specified.

What's required

Applicants should hold a Master’s degree in electrical engineering, energy systems, automation, or a related field. Strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is preferred. Programming and computational modelling experience is important, with familiarity in Python, MATLAB, Julia, or similar tools considered valuable. Experience in power and energy systems, integrated multi-energy systems, hydrogen systems, maritime or port energy systems, data centre energy management, smart grids, stochastic optimization, deep learning, safe reinforcement learning, or quantum-inspired optimization is an advantage. Strong English proficiency, good communication skills, ability to work independently and in a team, and motivation to publish scientific papers and develop as an independent researcher are expected.

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Professors

Assistant Professor

University Name
Country flag

Finland

Research Interests

Energy Engineering

Power System

Distributed Energy

Demand-side Management

Distributed Algorithms