Idaho National Laboratory · 6 hours ago
Energy Supply Chain Modeling & Analytics Postdoctoral Research Associate
Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Associate to advance decision-relevant supply chain analysis for energy technologies. In this role, you will develop and apply quantitative methods to understand supply chain risk, resilience, and domestic manufacturing opportunities across bioenergy, electric vehicles, batteries, and critical materials.
BiofuelEnergyHomeland SecurityInformation Technology
Responsibilities
Work in a multidisciplinary team using a range of modeling tools and approaches to solve problems in supply chain resilience, manufacturing, and energy security across bioenergy, electric vehicles, batteries, and critical materials
Design, develop, and apply computational models (e.g., discrete event simulation, system dynamics, agent-based modeling, network models, optimization/operations research, AI/ML, and geospatial methods) to evaluate risks, constraints, and mitigation strategies in complex supply chains
Build reproducible analysis workflows and software components, including data pipelines, model interfaces, and visualization or web-based tools. Where appropriate, leverage high-performance computing (HPC) and scalable architectures
Engage with internal and external collaborators to scope work, define requirements, and deliver decision-focused outputs that meet Department of Energy and industry expectations and project milestones
Contribute to INL’s technical reputation through major contributions to presentations, reports, peer-reviewed journal articles, invention disclosures, and other professional activities
Operate as a strong individual contributor while also taking direction from teammates and peers, consistently delivering scope within cost and schedule
Qualification
Required
PhD in computer science, systems engineering, operations research, industrial/mechanical engineering, environmental science/engineering, chemical engineering, or a related field
PhD requirements must be completed by commencement of appointment and within the past 5 years
Proficiency in Python or Java, including experience developing reproducible analysis code, model interfaces, and/or machine learning workflows
Demonstrated proficiency in statistics, mathematics, programming, systems modeling, geospatial methods, AI/ML, or another quantitative field directly applicable to operations research, management science, and supply chain modeling
Demonstrated oral and written communication skills (in English), including a developing publication record in relevant fields of research
Experience in computational analysis and model development using one or more modeling paradigms (simulation, optimization, forecasting, network modeling)
Preferred
Demonstrated understanding of supply chain systems and markets, including disruption dynamics, bottlenecks, substitution, logistics constraints, and resilience metrics
Experience with analysis software and tools such as discrete event simulation, system dynamics, agent-based modeling, GIS/geospatial toolchains, statistical analysis, and life cycle analysis tools
Experience in techno-economic analysis and/or life cycle assessment, including uncertainty and sensitivity analysis
Experience with proposal development or contributing to new R&D directions (scoping, framing research questions, and building partnerships)
Benefits
Medical, Dental, Vision, and Flexible Spending Accounts
401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
Paid time off (personal leave)
Employee Education Program (tuition assistance for eligible positions)
Comprehensive Relocation Package
Company
Idaho National Laboratory
Idaho National Laboratory USDOE is a research laboratory focused on the development, demonstration, and deployment of nuclear energy.
Funding
Current Stage
Late StageTotal Funding
$7.5MKey Investors
US Department of EnergyU.S. Department of Homeland Security
2024-07-02Grant· $7.5M
2023-01-17Grant
Leadership Team
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