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Job Details

Argonne National Laboratory

Predoctoral Appointee - Machine Learning techniques for Optimization under Uncertainty




Full Time


Lemont, Illinois, United States

Our Math and Computer Sciences division (MCS) is seeking a Predoctoral Appointee to focus on Machine Learning techniques for Optimization under Uncertainty. The incumbent will develop machine learning technique to address the challenges of stochasticity in stochastic dynamic optimization and its application to energy and environmental applications. This involves prototyping learning architectures and integrate them with optimization tools to solve problems with constraints by scenario-based optimization or policy iteration methods. The position involves balance between documentation, method designing, method prototyping, and validation and requires interaction with a diverse team of scientists and environmental and electrical engineers.

Position Requirements

Required skills/qualifications:

  • MS in one of the mathematical sciences (Applied Math, Math, Statistics, Computer Sciences, Operations Research) or a relevant engineering area
  • Experience with python and R
  • Coursework in optimization, statistics, and machine learning

Desired skills/qualifications:

  • Experience with Julia and Matlab
  • Research experience in Optimization or Machine Learning

Job Family

Temporary Family

Job Profile

Predoctoral 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.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.