Energy Supply Chain Postdoctoral Research Associate

Idaho National Laboratory is hiring a Postdoctoral Research Associate in various engineering and science fields for the Decision Sciences Department. The role involves working on modeling tools for bioenergy, electric vehicles, and supply chain resilience. Candidates should have skills in statistics, programming, and systems modeling. The position requires teamwork and self-motivation, with a full-time 9x80 work schedule based in Idaho Falls, ID.
Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Associate in Computer Science, Systems Engineering, Operations Research, Mechanical Engineering, Environmental Science/Engineering, Chemical Engineering, Economics, Business or a related field for the Decision Sciences Department. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off. You will report to your group lead and department manager. You will have a demonstrated proficiency in statistics, mathematics, programming (Python, Java), systems modeling (system dynamics, agent-based modeling) or other quantitative fields that can be used in operations research, management science and supply chain modeling. Responsibilities Include: - Work in a multi-disciplinary team using a wide range of modeling tools and approaches to solve problems across bioenergy, electric vehicle, batteries, supply chain resilience and manufacturing. - Help develop current and new projects at the INL using computational approaches including discrete event simulation, system dynamics and agent-based modeling. These computational and analysis resources include development and deployment of high-performance computing solutions, analysis tools, web-based software, and database interface solutions to enhance model platforms and frameworks for both internal and external collaborators. - Support INL leadership in meeting Department of Energy and industry expectations and deliverables, and INL internal reporting metrics. - Be a strong asset to our interdisciplinary R&D team and work both alone and as a team member. - Must be self-motivated but also take direction from other team members and peers while consistently accomplishing scope within cost and schedule. - Contributing to the external technical reputation of INL through major contributions to presentations, reports, peer-reviewed journal articles, invention disclosures, and other professional activities.