KTH | Postdoc in AI and digital modelling of electric power systems
Stockholm, Sweden
31 Oct 2026
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Overview
- Institution
- KTH Royal Institute of Technology
- Location
- Stockholm, Sweden
- Field
- Engineering
- Deadline
- 31 October 2026
- Contract
- Full time
About this position
Job description
Do you want to build the models, data and computing environments needed to analyse and control the power system of the future? The Division of Electric Power and Energy Systems is looking for a postdoc in digital modelling and AI for electric power systems. You will work in a research project centred on AI, software development and data modelling of electric power systems, in which a national digital twin of the Swedish power system is being built, with open datasets, catalogues of information models and interfaces, and demonstrators for data exchange between grid companies, flexible customers, aggregators and the electricity market. The work is carried out in close collaboration with industry and grid operators.
The main part of the work consists of developing methods and supporting software for analysis, modelling, optimisation and control of electric power systems from a system perspective. The position includes:
- building a development environment with databases and computing platforms for developing and training AI models for power system applications
- independently carrying out the tasks for which KTH is responsible in the projects: method and software development, reporting and documentation
- publishing the results scientifically and presenting them to the project partners
- following developments in the field
Some supervision of students may occur. The work may involve handling data on the Swedish power grid that is subject to protective security legislation.
Qualifications
Requirements
- A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
- The subject area of the doctoral degree must be electric power engineering or a closely related field, with a focus on modelling, machine learning or optimisation at the power system level.
- Documented experience of software development for the analysis of large datasets, for example in Python or Julia.
- Good command of Swedish and English, spoken and written, as this will be required in day-to-day work.
As a person you are independent, creative and structured, and you collaborate well with colleagues and external partners. We would also like you to be aware of diversity and equal opportunity issues, with specific focus on gender equality.
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
- Documented research expertise in the field, evidenced by publications.
- Good knowledge of open source solutions in the field, for example pandapower, PowerSystemBlocks, Grid2Op and/or CIM-based tools.
- Experience of using and developing data and computing platforms: databases, containerisation, version control and cloud or HPC resources.
- Experience of information models and protocols for data exchange in the power system, for example CIM, OpenADR or OCPP.
- Experience of collaboration with industry or grid operators in applied research.
- Teaching experience, for example supervision of students.
Great emphasis will be placed on personal skills.
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
Trade union representatives
Contact information to trade union representatives.
To apply for the position
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include
- CV including relevant professional experience and knowledge.
- Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
- Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
About the employment
The position offered is for, at the most, three years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
Other information
For information about processing of personal data in the recruitment process.
It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Apply here
Type of employment
Temporary position
Contract type
Full time
Full-time equivalent
100 %
First day of employment
1 December 2026 or according to agreement
Salary
Monthly salary
Number of positions
1
Location
Stockholm
County
Stockholms län
Country
Sweden
Reference number
PA-2026-3050
Published
22.Sep.2026
Last application date
31.Oct.2026
Contact
Lars Nordström
larsno@kth.se
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