The Laboratory for Applied mathematics, Numerical software, and Statistics (LANS) and the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invite applicants for a postdoctoral position in the area of numerical optimization. You will investigate and develop new algorithms for solving dynamic optimization problems with applications to sequential design of experiments, motivated by problems arising from various imaging techniques.
Candidates interested in advancing developments in numerical optimization (especially dynamic optimization), active learning, and design of experiments for challenging large-scale data analysis, with interesting and real applications, will find a stimulating environment at the laboratory. Candidates should have been or soon will be awarded a doctoral degree in applied mathematics, statistics, computer science, machine learning or related areas. Knowledge is desired in one or more of mathematical optimization, inverse problems, scientific computing, and/or machine learning.
This position is required on-site for the majority of the week. Our address is 9700 S. Cass Avenue; Lemont, IL 60439.
Position Requirements
Required skills:
- A completed or soon-to-be completed PhD (typically within the last 0-3 years) in mathematics or a related discipline (e.g. computer science, engineering).
- Experience in mathematical optimization, machine/deep learning, and scientific computing.
- Effective verbal and written communication skills.
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
Desirable knowledge and skills:
- Software development practices for large-scale computation and data-intensive problems.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs 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.
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