Post-Doctoral Fellow, Intelligence and Computing Lab
Core
Researching power system resilience, digitalization, and decarbonization through AI, computing, and control at the intersection of power systems and machine learning.
Role type
Post-doctoral researcher (IC)
Builds
Distribution system models, digital twins, and resilience strategies for energy infrastructure.
Domain
Energy systems / Power grids / AI for built environment
Deliverable
production ML models | research
Required skills
Power system simulation, physics-informed machine learning, geospatial data-driven modeling
Preferred skills
Distribution system modeling, quasi-static simulation, digital twin development, wildfire risk modeling, Python, Java, PyTorch, TensorFlow, OpenDSS, GridLAB-D
Technologies
PyTorch, TensorFlow, OpenDSS, GridLAB-D, PandaPower, InterPSS
Responsibilities
Support PI to complete assigned research tasks, provide research guidance to graduate students, submit research proposals and papers, revise and resubmit papers
Seniority
Post-doctoral, hands-on IC