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    Energy Supply Chain Postdoctoral Research Associate - Idaho Falls, United States - Idaho National Laboratory

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    Job Description

    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 Systems Analyses and Engineering Department. You will have a demonstrated proficiency in statistics, mathematics, programming (Python, Java), systems modeling (system dynamics, agent-based modeling) or other quantitative field that can be used in operations research, management science and supply chain modeling. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off. Responsibilities Include:

    • Work in a multi-disciplinary team using a wide range of modeling tools and approaches to solve problems across the areas of bioenergy, electric vehicle, batteries, supply chain resilience and manufacturing.
    • Support the development of current and new projects at the INL utilizing 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 DOE/industry expectations, milestones, and deliverables, and INL internal reporting metrics.
    • Be a strong asset to our interdisciplinary R&D team and work effectively 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.
    Qualifications:Minimum Requirements:
    • Ph.D. in Computer Science, Systems Engineering, Operations Research, Mechanical Engineering, Environmental Science/Engineering, Chemical Engineering, Economics, Business or a related field.
    • Ph.D. requirements must be completed by commencement of appointment and within the past 5 years.
    • Demonstrated proficiency in statistics, mathematics, programming, systems modeling or other quantitative field that can be used in operations research, management science and supply chain modeling.
    • Demonstrated oral and published written communication skills (in English).
    • Experience in computational analysis and model development using a range of systems modeling tools.
    • Developing good publication record in relevant fields of research.
    Preferred Requirements:
    • Demonstrated understanding of supply chain systems and markets.
    • Experience with a range of analysis software and tools such as Discrete Event Simulation, System Dynamics, Agent-based Modeling, statistical analysis software and life cycle analysis tools.
    • Experience in techno-economic and life cycle assessment.
    • Experience with proposal writing.
    • Proficient in Python or Java with experience developing interfaces and machine learning tools.
    Job Information:
    • Salary: $95,004.00 Annually
    • You are required to show a demonstrated commitment to valuing diversity and contributing to an inclusive working environment.
    • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.
    Benefits and Relocation
    • Medical, Dental, Vision, and Flexible Spending Accounts
    • 401(k) with a 4.2% employer contribution and up to 4.8% match
    • Paid time off (personal leave)
    • Employee Education Program (tuition assistance)
    • Comprehensive Relocation Package
    • Benefit eligibility subject multiple factors, including employment status and position classification.
    INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation's nuclear and renewable energy, national security, and environmental missions. Growing INL: An Overview of New Facilities and Capabilities INL Mission Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure. INL Vision Our vision is to change the world's energy future and secure our nation's critical infrastructure. Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Women and People of Color are strongly encouraged to apply. Reasonable AccommodationWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL does not accept resumes from third party vendors unsolicited.


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