Publisher
source

Mälardalen University

PhD Position in Energy Engineering: AI Agent for Energy Decision-Making (LLM-based) Mälardalen University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 15, 2026

Country flag

Country

Sweden

University

Mälardalen University

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Power Engineering
Energy Engineering
Python Programming
Computational Simulation
Sustainability Transition
Electricity
Energy System
Deeplearning
Ai Agents
Modeling
Decision-making
Large Language Models
Power And Power Electronics
Power System Analysis

About this position

Mälardalen University (MDU), Sweden's youngest university, is offering a full-time, four-year PhD position in Energy Engineering at the School of Business, Society and Engineering, located in Västerås. The university is committed to shaping a sustainable future through progressive research and collaboration with industry, public sector, and international partners.

This doctoral position centers on the development of a large language model (LLM)-based AI agent for energy decision-making. The research is highly interdisciplinary, combining energy technology and computer science, and is connected to MDU’s established research areas. Key project components include the creation of AI models and methods for energy systems, integration of the AI agent with energy system models, and the development of approaches for transparency, explainability, and uncertainty handling. Applications will focus on case studies related to electrification and sustainable transition.

The position may also involve teaching and departmental duties, such as laboratory supervision and project guidance, up to 20% of full-time work. The successful candidate will join a vibrant academic environment with strong ties to regional companies, organizations, and authorities, fostering both personal and professional growth.

Eligibility and Requirements: Applicants must hold a Master of Science or equivalent degree in Energy Engineering, Electrical Engineering, Engineering Physics, Energy Systems, or a closely related field. General entry requirements include completion of a second-cycle degree or at least 240 higher education credits, with credits at the second-cycle level, or equivalent knowledge. Proficiency in written and spoken English is required; knowledge of Swedish is considered a merit. Candidates should demonstrate expertise in energy technology, large language models (LLMs), deep learning, and Python programming. Additional qualifications such as knowledge in power engineering, power electronics, power system analysis, and experience in modelling, simulation, or experimental work are advantageous. Strong communication skills, motivation, and the ability to work independently and collaboratively are essential.

Funding: The position offers full-time employment as a doctoral student for four years, with salary and benefits according to university regulations.

Application Process: Applications must be submitted online via the university’s application portal by November 15, 2025. Required documents include degree certificates and transcripts, which must be officially issued and provided in Swedish or English, or translated by an authorized translator. The university reserves the right to withdraw admission if a valid residence permit cannot be presented by the start date for candidates requiring physical presence in Sweden.

For further details and to apply, visit the official application link. MDU values diversity and encourages applicants from all backgrounds to apply.

Funding details

Available

What's required

Applicants must have completed a second-cycle (Master's level) degree or equivalent, with at least 240 higher education credits, including credits at the second-cycle level, or have acquired substantially equivalent knowledge. Specific requirements include a Master of Science or equivalent degree in Energy Engineering, Electrical Engineering, Engineering Physics, Energy Systems, or a closely related field. Good written and spoken English skills are required; knowledge of Swedish is a merit. Applicants should demonstrate knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics, power system analysis, and experience in modelling, simulation, or experimental work. Strong communication skills, motivation, and ability to work independently and collaboratively are essential.

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