KTH Royal Institute of Technology
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Postdoc in AI and Digital Modelling of Electric Power Systems KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Oct 31, 2026
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
Postdoc opportunity at KTH Royal Institute of Technology in Stockholm, Sweden. The Division of Electric Power and Energy Systems is recruiting a postdoctoral researcher in AI and digital modelling of electric power systems. The project focuses on building models, data, and computing environments for analysing and controlling the power system of the future, including a national digital twin of the Swedish power system, open datasets, information models, interfaces, and demonstrators for data exchange between grid companies, flexible customers, aggregators, and the electricity market.
The work combines electric power systems, machine learning, optimisation, software development, and data modelling. Main tasks include developing methods and supporting software for analysis, modelling, optimisation, and control from a system perspective; building a development environment with databases and computing platforms for AI model development and training; carrying out KTH’s project tasks; publishing scientific results; presenting to project partners; and following developments in the field. Some supervision of students may occur.
Eligibility and requirements: a doctoral degree or equivalent foreign degree is required by the time of the employment decision. The doctorate should be in electric power engineering or a closely related field with a focus on modelling, machine learning, or optimisation at the power system level. Applicants should have documented software development experience for large datasets, for example in Python or Julia, and good command of Swedish and English, spoken and written. The post may involve handling data on the Swedish power grid subject to protective security legislation.
Preferred qualifications: recent PhD completion (within the last three years), publications, familiarity with open-source power-system tools such as pandapower, PowerSystemBlocks, Grid2Op, or CIM-based tools, experience with databases, containerisation, version control, cloud/HPC resources, and knowledge of information models/protocols such as CIM, OpenADR, or OCPP. Experience collaborating with industry or grid operators and teaching or student supervision is also valued.
Employment details: temporary full-time postdoc position for up to three years. Location: Stockholm, Sweden. Deadline: 31 October 2026. Apply through KTH’s recruitment system and include a CV, diplomas/grades, and a short statement of research motivation and academic interests.
Funding details
Available
What's required
A doctoral degree or equivalent foreign degree in electric power engineering or a closely related field with a focus on modelling, machine learning, or optimisation at the power system level. Documented experience in software development for analysing large datasets, for example in Python or Julia, and good spoken and written Swedish and English are required. Preferred qualifications include a doctorate obtained within the last three years, publications, knowledge of open-source tools such as pandapower, PowerSystemBlocks, Grid2Op or CIM-based tools, experience with databases, containerisation, version control, cloud or HPC resources, information models and protocols such as CIM, OpenADR or OCPP, collaboration with industry or grid operators, and teaching or student supervision experience.
How to apply
Apply through KTH's recruitment system via the provided Varbi application link. Submit a CV, copies of diplomas and grades, and a brief statement of research motivation, academic interests, and future goals. The complete application must arrive by 31 October 2026 at midnight CET/CEST.
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