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University of Skövde

Just Landed

PhD Position in Information Technology with Focus on Smart Grids University of Skövde in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

VINNOVA-funded project FLEXFURN; employment includes salary according to the local doctoral student salary scale.

Deadline

Dec 1, 2026

Country flag

Country

Sweden

University

University of Skövde

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Energy Storage
Smart Grid Technology
Artificial Intelligence
Industrial Engineering
Microgrid Technology
Optimisation
Demand-side Management
ML

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Posted Yesterday

About this position

The Department of Engineering Science at the University of Skövde offers a creative and collaborative research environment with modern facilities, strong industrial links, and a track record of applied research and high-quality education. The successful doctoral student will join a team whose work is relevant to industry, society, and academia, and will be based in the area of information technology as defined by the university.

This PhD project focuses on smart grids in the context of industrial electrification. The research is set at Volvo’s Skövde plant, one of Sweden’s most advanced production sites, where the central question is how power systems respond when a large industrial load suddenly requires several megawatts of electricity. The work is embedded in the FLEXFURN project, which investigates digital energy management, demand flexibility, and energy storage for electrified industrial furnaces.

In collaboration with Volvo Powertrain, Vattenfall Eldistribution, and AI Sweden, the doctoral student will help develop an AI-based energy management system for flexible operation of electrified industrial furnaces. The project combines machine learning, optimization, and energy systems, and its methods will be tested in real industrial processes rather than only in simulation.

The research also brings together demand-side management, multilayer energy storage, waste-heat recovery, and smart-grid technologies within a unified optimization framework. The student will work on forecasting energy, prices, and grid conditions; developing optimization algorithms for flexible industrial loads and storage; assessing techno-economic potential of batteries, hydrogen, supercapacitors, and molten iron storage; and creating decision-support tools for day-ahead energy planning.

The position offers an engaged supervisory team, a national network of partners in industry, energy, and AI, opportunities to present research at international conferences, and a welcoming campus environment with good connections to Gothenburg and Stockholm.

Funding details

VINNOVA-funded project FLEXFURN; employment includes salary according to the local doctoral student salary scale.

What's required

Applicants must have a second-cycle degree, or completed courses totaling at least 240 higher education credits with at least 60 credits at advanced level, or equivalent knowledge acquired in or outside Sweden. They must also have completed at least 60 credits, including an independent thesis of at least 15 credits at advanced level, in information technology, closely related applied areas, or another field judged directly relevant to doctoral work in information technology, electrical engineering, computer science, automation technology, or other relevant subjects. Documented English proficiency equivalent to Swedish upper-secondary English 6 is required, which may also be demonstrated by an internationally recognized test such as IELTS 6.5 overall, TOEFL 90, or PTE 62. Preference is given to strong ability to undertake doctoral studies, knowledge of industrial energy systems, microgrids and smart grids, experience with modelling and optimization of energy systems and energy management systems, experience with AI, machine learning, Python, GAMS or similar tools, and good collaboration skills in interdisciplinary teams.

How to apply

Apply through the university’s website at www.his.se/jobb by clicking “Ansök” at the bottom of the advert. Attach a cover letter in English describing your motivation, research interests, and expectations for doctoral studies, along with your CV, certificates, transcripts, degree documents, master’s thesis, and any publications.

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