Idaho National Laboratory · 6 hours ago
Energy Supply Chain Modeling & Analytics Postdoctoral Research Associate
Idaho National Laboratory is seeking a Postdoctoral Research Associate in Energy Supply Chain Modeling & Analytics. The ideal candidate will utilize strong systems thinking and technical execution to develop models and analyze supply chain issues related to energy security and resilience, while collaborating with multidisciplinary teams and contributing to the lab's technical reputation.
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)
Company
Idaho National Laboratory
Idaho National Laboratory USDOE is a research laboratory focused on the development, demonstration, and deployment of nuclear energy.
H1B Sponsorship
Idaho National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (68)
2024 (47)
2023 (48)
2022 (56)
2021 (39)
2020 (26)
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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