Postdoctoral Position in Mathematics

Argonne National Laboratory

The Mathematics and Computer Science Division at Argonne National Laboratory seeks candidates for a postdoctoral position in numerical optimization. In this role you will perform research in analysis and implementation of algorithms for solving optimization problems that involve digital twins to model complex systems. Applications include, but are not limited to, data assimilation and control for self-assembly systems and optimal experimental design and control for autonomous devices. Research will be performed in close collaboration with leading scientists in applied mathematics and computer science. Researchers will have access to cutting-edge extreme-scale computing facilities. Argonne provides a collaborative, open-science environment where scientists from various disciplines and backgrounds are engaged in solving challenging fundamental and practical problems. We actively promote diversity in backgrounds, experiences, and perspectives. For more information on the applied mathematics, numerical software, and statistics group at Argonne, see Position Requirements Recent or soon-to-completed PhD (typically within the last 0-3 years) in applied mathematics, statistics, computer science, industrial engineering or related field. Experience in nonlinear optimization, PDE-constrained optimization, machine learning, or optimal control. Interest in contributing to numerical software development. Experience with (or willingness to explore) high-performance computing environments. Ability to model Argonne's core values of impact, respect, integrity, safety and teamwork. US citizenship or permanent residence status is not required for this position. Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) 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. Interested in translating science into innovation? Build your career at Argonne. At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page. To request a reasonable accommodation or for other application support, contact us anytime at or 630-252-2336.