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Post-Doctoral Researcher - Industrial and Fuel Supply Optimization Modeling/Analysis

💼 Graduate Job


💻 Remote
🤑 $71.3K - $117.6K

AI generated summary

  • You need a recent PhD, strong coding skills, knowledge of decarbonization, team player, strong writer, experience with energy systems, quantitative methods, and optimization modeling. Public policy and energy industry experience preferred.
  • You will develop and apply optimization models to analyze industrial decarbonization, clean energy tech, energy sector interactions, and clean manufacturing impacts. Communicate findings through presentations, articles, and policy briefs.

Graduate Job

Research & DevelopmentGolden


  • The Integrated Modeling and Economic Analysis Group develops and applies energy and economic models to evaluate and inform the evolution of the energy system and the associated implications for the economy, environment, and society. We are looking forward to welcoming a new researcher to our team to contribute to a growing body of research evaluating alternative pathways to cross-sectoral decarbonization of the US economy.


  • Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
  • Additional Required Qualifications:
  • Demonstrated experience in code-based data management and analysis using leading coding environments: e.g., Python,
  • Working knowledge of decarbonization literature,
  • Exceptional teaming and organizational skills,
  • Exceptional writing skills and a demonstrated record of publication in the technical/peer-reviewed literature.
  • Preferred Qualifications:
  • Working knowledge of all subsectors of the US energy system and associated markets, policies, and regulations,
  • Demonstrated experience presenting research findings to broad—technical and non-technical—audiences,
  • PhD in economics (with a focus on energy/environment), policy, engineering or other related field; however, we encourage applicants with training in any field to apply if they have interest and experience in the energy sector and experience with quantitative methods, especially optimization,
  • Experience developing and applying optimization models (ideally in energy system applications) and experience with leading modeling coding environments, e.g., GAMS, MPSGE, Julia;
  • Experience in public policy—either direct experience or in analysis of policy design or impacts,
  • Prior work experience in the energy industry, at state- or federal agencies, or research institutions focused on energy.

Education requirements


Area of Responsibilities

Research & Development


  • Working with senior researchers, the successful candidate will develop and apply the Fuels and Industry Integrated Optimization (FINITO) model—a new model simulating the evolution of the US industrial and fuel supply sectors—to a range of research topics, including:
  • evaluation of the implications of alternative policy designs for industrial decarbonization,
  • evaluation of research and development (R&D) driven improvements to the cost and performance of clean energy technologies,
  • evaluation of how industrial decarbonization would interact with other energy sectors (e.g., electricity),
  • explore impacts of a clean manufacturing transition on US manufacturing competitiveness.
  • In particular, the researcher will contribute to aspects of all components of research—from project conceptualization and proposal development, to methods development and implementation, and finally to analysis and communications. Communication products will include presentations to deliver at workshops/conferences, technical articles for submission to peer-reviewed journals, as well as shorter written products for policy audiences.
  • The ideal candidate will have a high level of enthusiasm to expand one’s knowledge of the energy system, learn new skills, and apply such knowledge and skills to help identify how the US can transition to a sustainable energy system, what the implications are for society, and how policy can be designed to help shape those outcomes. We welcome applicants with PhDs from any field, but a strong applicant must have experience developing and applying optimization models and experience in analysis of the energy system.
  • Conducting objective research that generates independent, high quality, and reproducible results,
  • Research, acquisition, and analysis of large data sets,
  • Development of new data architectures to flexibly describe infrastructure systems,
  • Development and implementation of new advanced methods for modeling of energy system evolution,
  • Executing scenarios and visualizing, analyzing, and interpreting results for reporting,
  • Assisting senior researchers in the design, implementation, and reporting of the research project,
  • Leading or contributing to technical reports, journal articles, and presentations,
  • Communicating effectively and succinctly both in written products and in speaking roles.


Work type

Full time

Work mode





71300 - 117600 USD