Postdoc in AI and digital modelling of electric power systems
The postdoc will work on developing methods and supporting software for analysis, modelling, optimisation and control of electric power systems from a system perspective. This includes building a development environment with databases and computing platforms for AI models, and collaborating with industry and grid operators. The project involves creating a national digital twin of the Swedish power system with open datasets and demonstrators for data exchange.
The position is based at KTH Royal Institute of Technology in Stockholm, Sweden. The work is carried out in collaboration with industry and grid operators, and may involve handling data on the Swedish power grid subject to protective security legislation.
Key qualifications:
- 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 of software development for the analysis of large datasets, for example in Python or Julia.
- Good command of Swedish and English, spoken and written.
- Preferred qualifications include a doctoral degree obtained within the last three years, research expertise evidenced by publications, and experience with open source solutions in the field.
