Doctoral student in Grid Impact Assessment of Optimized Energy Communities
Core
Researching grid impact of optimized local energy resources (solar PV, batteries, heat pumps, EVs) via digital twins, advanced modeling, and techno-economic analysis for energy communities.
Role type
Doctoral researcher (IC)
Builds
Research outputs, digital twin models, optimization frameworks, and scenario analyses for scalable energy community solutions.
Domain
Energy systems, power grid analysis, optimization methods
Deliverable
research
Required skills
Digital twin development, advanced modeling, optimization methods, techno-economic analysis, grid-impact studies, scenario modeling, data analysis, thermal network analysis, power grid automation
Preferred skills
None stated
Technologies
None stated
Responsibilities
Develop and calibrate digital twins; perform advanced modeling and optimization of local energy systems; conduct techno-economic analysis; execute grid-impact studies; model scenarios for large-scale replication; independently pursue research work.
Seniority
PhD candidate, independent researcher