Björn Laumert

This postdoctoral position at KTH Royal Institute of Technology offers an exciting opportunity to advance the integration of energy communities and virtual energy sharing in Sweden. The role is embedded within two national research projects focused on developing robust and economically viable solutions for large-scale energy community deployment under evolving regulatory and grid conditions. The successful candidate will lead activities in time-resolved energy systems modelling, optimisation, and digital twin development for pilot sites. Key responsibilities include scenario-based evaluation of virtual sharing configurations, assessment of metering and system integration requirements, and quantitative analysis of economic, regulatory, and grid impacts. The position involves developing and implementing advanced numerical models, calibrating them with real measurement data, conducting sensitivity and scalability analyses, and comparing energy community investments with conventional grid reinforcement strategies. Collaboration is central, with opportunities to work alongside housing associations, distribution system operators, electricity suppliers, and academic partners. The postdoc will contribute to policy-relevant recommendations and scientific publications, supporting Sweden’s transition towards sustainable energy systems. Applicants must have a strong background in energy systems modelling, optimisation, and quantitative techno-economic analysis, demonstrated through doctoral research, scientific publications, or industry reports. Preferred qualifications include recent doctoral completion (within three years), experience with energy communities, virtual sharing models, grid impact analysis, business models, regulatory frameworks, metering infrastructure, data management, system integration, and proficiency in Python or similar tools. Awareness of diversity and equal opportunity issues, especially gender equality, is valued. Strong personal skills, research expertise, teaching abilities, collaborative and project management abilities, and independence are emphasized. KTH Royal Institute of Technology is a leading international technical university, committed to education, research, and innovation for a sustainable society. The institution offers a creative and dynamic environment, attractive benefits, and good working conditions. The postdoctoral appointment is full-time, for up to three years, with a monthly salary and benefits. The position may be subject to security clearance under Swedish law. To apply, candidates must log into KTH’s recruitment system and submit a complete application by the deadline. Required documents include a CV, diplomas and grades, translations if necessary, a brief research statement, and up to three authored reports or scientific articles in PDF format. The application deadline is March 17, 2026. For further information, contact Dr. Jagruti Ramsing Thakur ([email protected]) or Professor Björn Laumert ([email protected]). Join KTH and contribute to shaping the future of sustainable energy systems in Sweden!

PhD opportunity at KTH Royal Institute of Technology in Grid Impact Assessment of Optimized Energy Communities . This doctoral project sits within the third-cycle subject Energy and Environmental Systems / Energy Technology and is part of a Swedish Energy Agency-funded pilot and demonstration initiative on energy transition through efficient optimization of local energy resources. The research focuses on how energy communities can optimize local resources such as solar PV, batteries, heat pumps, and electric vehicles through energy management, while also assessing impacts on the electric grid network. The doctoral student will work on digital twins , advanced modelling and optimization of local energy systems, techno-economic analysis , grid-impact studies , and scenario modelling for large-scale replication. Supervision is proposed by Jagruti Thakur , Björn Laumert , and Patrik Ollas (RISE) . Eligibility highlights include a relevant second-cycle degree or equivalent, prior coursework in energy systems , optimization methods , and power grid analysis , plus mandatory English proficiency equivalent to English B/6 . Experience in data analysis , thermal network analysis , and power grid automation is an advantage. The position is a full-time doctoral employment in Stockholm with salary according to KTH's doctoral student salary agreement and standard employee benefits. Applications must be submitted through KTH's recruitment system before 2026-07-01 .