Postdoc: Climate‑Resilient Power Systems & AI Optimization

The Rector & Visitors of the University of Virginia; Charlottesville (VA); On-site; USD 61,000 - 81,000; Full time

Job summary

The University of Virginia's Environmental Institute seeks a Postdoctoral Research Associate to advance a Climate and Power Systems project. You will join an interdisciplinary team to develop a robust multi-agent RL framework for planning expansions, transitions, and resilience against climate impacts in electric power systems.

Starting salary is $70,700/year with $5,000/year research funds, and the appointment lasts for two years.

Qualifications

• PhD in a relevant field by start date; preference for degree within five years prior to appointment.
• Strong background in power systems, machine learning, and optimization.
• Familiarity with reinforcement learning or multi-agent systems is beneficial.

Responsibilities

• Develop a robust multi-agent reinforcement learning framework for expansion, transition, and resilience planning in power systems under climate-driven uncertainty.
• Model power system complexities and climate-driven uncertainties to support climate adaptation and mitigation.
• Collaborate with interdisciplinary teams and utility partners to incorporate real-world constraints into the research.

Job description

The University of Virginia's Environmental Institute seeks a Postdoctoral Research Associate to advance a Climate and Power Systems project. You will join an interdisciplinary team to develop a robust multi-agent RL framework for planning expansions, transitions, and resilience against climate impacts in electric power systems.

Starting salary is $70,700/year with $5,000/year research funds, and the appointment lasts for two years.