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Argonne National Laboratory · 4 days ago

Postdoctoral Researcher – Energy Economics Analyst

Lemont, IL USA

Full-time

Onsite

New Grad

$73K/yr - $121K/yr

0+ years exp

Argonne National Laboratory is seeking a highly qualified and motivated Postdoctoral Researcher specializing in energy economics and supply chain analysis. This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience.

EnergySecuritySocial Impact

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Conduct and contribute to research and model development to enhance the resilience of domestic and global energy supply chains

Lead technical and policy analysis to inform decision-makers on manufacturing and energy supply chain strategies

Apply advanced analytics and methods to analyze trade, production, and geopolitical data to identify risk in critical supply chains

Develop and maintain analytical models, datasets, and risk monitoring tools in collaboration with DOE national laboratories and federal partners

Prepare detailed reports and briefings on methodologies, analyses, and findings

Collaborate with interdisciplinary teams across DOE National Laboratories

Publish impactful research in peer-reviewed journals and support related projects within the team

Enhance professional skills, including communication, networking, and leadership

Qualification

Energy economicsSupply chain analysisData-driven modelingScientific programmingEconomic analysis techniquesCommunicationTeam collaborationLeadership skills

Required

This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, engineering, or a related field at the PhD level with zero to five years of employment experience

Technical background in economics with a focus on the mineral and energy sectors

Proven scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis

Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)

Excellent oral and written communication skills in scientific and engineering contexts

Ability to integrate diverse knowledge and perspectives to drive innovation

Experience working independently and collaboratively in multidisciplinary teams

Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork