Postdoctoral Researcher – Political Science and Systems Engineering

Postdoctoral Researcher – Political Science and Systems Engineering

Join an interdisciplinary postdoctoral fellowship at Montana State University, in collaboration with engineering and political science faculty, to implement an existing research program defined in the DigiCARES strategic plan that advances justice-enhanced resilience in next-generation energy system digital twins. The position offers hands-on research using real-world utility data and community partners to support an equitable, data-driven energy transformation.

Position Title:

Postdoctoral Researcher – Political Science and Systems Engineering

Department:
Political Science

Division:
College of Letters & Science

Appointment Type:
Research Professional

Contract Term:
Fiscal Year

FLSA:
Exempt

FTE: 1.0

Benefits Eligible:
Eligible

Salary: $65,000 - $68,000 annually, commensurate with experience, education, and qualifications

The Postdoctoral Research Associate position is an interdisciplinary fellowship at Montana State University, supported by the NSF-funded DigiCARES project, which advances AI-driven digital twins for climate-aware and community-centered energy resilience. The fellow will implement a research program established in the NSF DigiCARES project strategic plan, contributing to defined milestones and deliverables while working at the intersection of engineering, data science, and social science to develop innovative approaches for next-generation energy infrastructure that integrate technical performance with community governance and equity-focused perspectives.

Duties and Responsibilities:

• Research & Analysis:
  Conduct interdisciplinary research on energy justice, governance, and community resilience in cyber-physical energy systems.
• Design and implement social science measures (procedural, recognition, and distributive justice) for digital twin applications.
• Conduct quantitative and mixed methods research with rural cooperatives and community stakeholders to assess energy equity impacts.
• Analyze socio-technical datasets and policy indicators to evaluate equity outcomes in energy planning and operations.
• Execute defined research tasks and deliverables specified in the DigiCARES strategic plan, including milestones related to data collection, analysis, and reporting.
• Community Engagement & Translation:
  Develop and execute community engagement strategies, integrating local knowledge into energy system decision-making and model validation.
• Facilitate participatory workshops and present research findings to community energy committees and partner organizations.
• Translate complex technical energy analytics into accessible insights for policymakers, utilities, and community stakeholders.
• Publication & Mentorship:
  Prepare and publish peer-reviewed manuscripts, technical reports, and policy briefs focused on justice-enhanced energy systems.
• Mentor master's and doctoral students, offering training, seminars, collaborative research opportunities, and methodological guidance in interdisciplinary energy resilience research.
• Present research findings at academic conferences and project meetings, and assist with proposal and grant-related activities.
• Project Support:
  Support project coordination, grant reporting, and dissemination activities as part of the NSF DigiCARES research initiative, including implementing strategic-plan research tasks and associated reporting deliverables.

Required Qualifications – Experience, Education, Knowledge &

Skills:

• Ph.D. in political science, public policy, economics, engineering, or a closely related field with a preferred research focus on energy systems, resilience, or socio-technical infrastructure.
• Strong research skills and demonstrated interest in topics such as:
  Artificial intelligence & technology governance Rural co-op governance and community resilience Energy policy, energy justice, energy poverty, and energy security
• Prior experience in qualitative, quantitative, or mixed-methods research.
• Technical competence in data analytics, programming, or modeling using tools such as Python, R, GIS, or similar computational platforms.
• Demonstrated ability to collaborate across disciplines and translate technical and social…