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Argonne National Laboratory Postdoctoral Appointee - Data-Driven Optimization in Lemont, Illinois

Postdoctoral Appointee - Data-Driven Optimization

Requisition Number: 408393 Location: Lemont, IL

Functional Area: Research and Development Division: MCS-Mathematics and Computer Science

Employment Category: Temporary 6 Months or Greater Education Required: Not Indicated

Level (Grade): 700 Shift: 8:30 - 5:00 Share: Facebook LinkedIn Twitter

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the areas of optimization, applied mathematics, and scientific computing. The postdoctoral candidate will work on the projects supported by DOE Office of Science and Office of Electricity Delivery and Energy Reliability. The position will address software/algorithm development and/or theory in areas of interest to the applied mathematics and numerical software group.

Candidates should have expertise in one or more of the following areas: robust optimization, stochastic optimization, dynamic programming, and parallel and distributed computing algorithms for scientific and high-performance computing. Also required is considerable knowledge in one or more of the following areas: modeling, algorithms, and software development in numerical optimization. Good proficiency levels in scientific programming languages (e.g., C, C++) are also required. Experience with Julia, parallel computing, large-scale computational science, energy systems and/or environmental applications is a plus. A recent PhD with 0-3 years of experience is required.

The appointments will be in the MCS Division ( www.mcs.anl.gov ), which has strong programs in scientific computing, software tools, and computational mathematics. Argonne is located in the southwestern Chicago suburbs, offering the advantages of affordable housing, good schools, and easy access to the cultural attractions of the city.

The application must include a curriculum vita; list of publications, abstracts, and significant presentations; and the names and addresses of three references, other than Argonne staff, who can attest to your ability and potential.

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, 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 Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.

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