The University of Skövde is offering a PhD position in Informatics with a specialization in Smart Grid technologies. This full-time, temporary role involves investigating the impact of heavy industry electrification on the power grid, specifically at Volvo’s Skövde plant.
The successful candidate will primarily work within the VINNOVA-funded FLEXFURN project, focusing on developing an AI-driven energy management system for electrified industrial furnaces. This research combines machine learning, optimization, and energy systems, with results tested on real industrial processes.
Quick Facts
| Opportunity | PhD Position |
|---|---|
| Institution | University of Skövde |
| Department | School of Engineering Science |
| Location | Skövde, Sweden |
| Region | Europe |
| Open to | International applicants |
| Funding | Not specified |
| Stipend / Salary | Salary paid in accordance with a local agreement on a salary ladder for postgraduate students. |
| Duration | Maximum 5 years |
| Application deadline | 01 December 2026 |
About the Position
The PhD student will develop machine learning models for energy, price, and grid forecasting, create optimization algorithms for flexible industrial loads and energy storage, and assess the techno-economic potential of various storage solutions like batteries and hydrogen. The role also involves developing decision-support tools for day-ahead energy planning and validating methods at Volvo Powertrain, supporting transfer to other energy-intensive industries. The project integrates demand-side management, layered energy storage, waste heat recovery, and smart grid technologies within a unified optimization framework.
Eligibility
- Master's degree or equivalent (at least 240 ECTS, with 60 ECTS at advanced level)
- At least 60 ECTS in Informatics, related applied areas, electrical engineering, computer science, information technology, automation technology, or other relevant subjects, including an independent thesis of at least 15 ECTS at advanced level
- Documented English language proficiency (e.g., IELTS 6.5, TOEFL 90, PTE 62)
- Good proficiency in acquiring education at the doctoral level
- Knowledge of industrial energy systems, microgrids, and smart grids (particular emphasis)
- Experience in energy system modelling, optimization, and EMS (particular emphasis)
- Experience with AI, ML, Python, GAMS, or similar tools (particular emphasis)
- Collaboration skills and experience working with interdisciplinary teams
Benefits
- Dedicated supervision team with expertise in smart grids, AI, and industrial energy systems
- National network of leading partners in industry, energy, and AI
- Opportunities to present work at international conferences
- Friendly, collaborative research environment on a compact campus
- Affordable living and easy access to Gothenburg and Stockholm
Documents Required
- Cover letter including a Statement of Purpose (explaining motivation, research interests, and expectations)
- Reference/Recommendation letter
- CV
- Certificates/grades and other qualifications
- Academic degree and transcript
- Master’s thesis work
- Relevant publications (if applicable, contact HR if unable to attach electronically)
How to Apply
- Visit the University of Skövde website (www.his.se/jobb)
- Click on "Apply" at the bottom of the advertisement
- Attach all required documents to your application
Source: EURAXESS.
Details can change – always confirm eligibility and deadline on the official listing before applying.
