Sustainable Materials & Processes Data Modeling and Analysis Group Lead

Argonne National Laboratory

Lemont, USA

Job posting number: #7243353 (Ref:418169)

Posted: May 10, 2024

Job Description

The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainableinnovative technologiestoimprovethe efficiency of resource and energy utilization; to minimize our dependence on imported energy; and to enhance our national security.

A Sustainable Materials & Processes Data Modeling and Analysis Group Leader position is now open for an energetic candidate with leadership skills and experience in techno-economic analysis (TEA) and life cycle analysis (LCA). In this leadership role, the successful candidate will collaborate closely with the department manager, division director, project/thought leaders, and a dedicated team of experts to support the Sustainable Materials and Processes Department in pursuing AMD’s missions and strategies. The successful candidate will act as Principal Investigator to manage and expand the portfolio of research projects by interacting with DOE program managers, and collaborating across Argonne, national laboratories, universities, and industry. The successful candidate will work closely with project leads to plan and execute projects to deliver to stakeholders, including managing budgets and financial responsibilities. The successful candidate will also support DEIA-related activities and outreach at the lab and will promote project collaboration with other groups at Argonne across divisions.

More specifically, this candidate will play a key role in developing and expanding capabilities for data modeling and analysis in the Sustainable Materials and Processes Department. The focus of the group is modeling and analysis of recycling and other decarbonization and sustainability focused materials, processes, and technologies. A good knowledge of conceptual process design, simulation, and optimization, process integration and intensification, and energy system optimization is of importance. The candidate should be familiar with databases, tools, and methodologies relevant to TEA and LCA. The successful candidate will lead a team that uses the EverGreen and IMPACT models, as well as others, to assess and improve advanced research and concepts going on in the lab and out in the field.

Position Requirements

  • Minimum Requirements: Bachelor's & 8+ yrs., Master's & 5+ yrs. or Doctorate & 4+ yrs.

  • A proven record of conceptual process design, economics and sustainability analysis of sustainable materials and processes for circular economy.

  • Ability to identify new research areas, develop and market proposals, and build trusted sponsor relationships.

  • Experience leading interdisciplinary research projects and the ability to lead a team involving multi-disciplinary scientists and engineers at all experience levels.

  • Project management experience/skills and the ability to solve problems independently.

  • Proven track record of collaboration with industry on R&D projects.

  • Collaborative skills, including the ability to work well with other scientists and engineers of diverse backgrounds within Argonne, and at other research or industry institutions and organizations.

  • A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Knowledge, Skills and Experience:

  • Demonstration of leadership skills.

  • Knowledge of Microsoft Excel and good computer programming skills.

  • Knowledge of process modeling, techno-economic analysis and life cycle analysis.

  • Understanding of decarbonization technologies, their supply chains and recycling processes.

  • Experience working with Argonne’s EverBatt model, GREET model, and BatPaC model.

  • Knowledge of Aspen Plus or other chemical engineering commercial process simulators.

  • Ability to work well alone and within a team of experts in various areas of expertise.

  • Skilled in oral and written communications with peers, colleagues, and collaborators.

Job Family

Research Development (RD)

Job Profile

Eng Systems Modeling-Simulation-Analysis Leader 1

Worker Type

Regular

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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Job posting number:#7243353 (Ref:418169)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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