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  • THE CONSORTIUM
    • IAMC
      • About us
      • Mission
      • What are IAMs?
      • Governance
      • IAMC Collaborations
      • Statement of Scientific Integrity
    • EVENTS
      • Annual Meetings
      • Webinars
      • Supported Events
    • MEMBERSHIP
      • Members
      • How to become a member
    • AWARDS
      • Lifetime Achievement Award
      • Award for extraordinary contributions to the field of IAM
      • Award for Early Career Researcher
      • Best Poster Award
  • SCIENTIFIC WORKING GROUPS
    • Data protocols and management
    • Evaluation and diagnostics
    • Scenarios
    • Scenarios for Climate-related Financial Analysis
    • National scenarios
  • RESOURCES
    • Projects
    • Models & Documentation
    • Scenario Databases
    • Tools & Visualization
    • COVID-19 Related Work
    • Publications
  • NEWS & JOBS
    • IAMC Announcements
    • Newsletter
    • Job opportunities
    • News from the community
    • Submit news
  • CONTACT

Research fellow, Energy policy and modelling group, University College Cork, Ireland

  • on August 18, 2025

We are seeking a Research Fellow for the ClimEnergise project to integrate climate-aware approaches into national energy and power system models. The role focuses on addressing challenges from increasing climate variability in Ireland’s energy transition, working at the intersection of climate science, energy systems analysis, and power systems planning. The candidate will develop a modelling framework that translates climate signals into cost-optimal, operationally feasible investment decisions. Experience in energy and power systems modelling is highly valued.

See more details about the project: https://www.ucc.ie/en/epmg/research/climenergise/

Closing Date: 12 noon (Irish Local Time) on Friday, 12 September 2025

For more details and to apply, please visit the UCC Job Vacancies, search ClimEnergise in Keywords.

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The Integrated Assessment Consortium (IAMC) is an organization of scientific research institutions that pursues scientific understanding of issues associated with integrated assessment modeling and analysis.
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