Postdoctoral Research Associate Machine Learning in High Energy Physics Detector Operations

The High Energy Physics Division at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques time-series modeling and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments. Experiments with Argonne involvement include but are not limited to ATLAS at CERN the South Pole Telescope and the Simons Observatory.

The candidate is also expected to work closely with computational experts at the Computational Science (CPS) division designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers. Argonne is a multidisciplinary national laboratory and offers an exciting campus atmosphere in which to collaborate on interdisciplinary projects at both the national and international levels. The initial appointment will be for one year with possibility of renewal for another two years and is based at Argonne National Laboratory (Lemont Illinois).

Position Requirements

Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics or a related field

Experience with applying unsupervised ML algorithms such as autoencoders clustering to time-series data is preferred

Experience with the data from HEP experiments is strongly required

Programming expertise in Python and either PyTorch or TensorFlow is required

Experience using High-Performance Computers (HPCs) is preferred

Ability to model Argonnes Core Values : Impact Safety Respect Integrity and Teamwork

Openings are available immediately; there is flexibility in starting dates for highly qualified candidates. Review of applications will begin immediately and applications that are received by December 1 2025 will receive priority. The positions will remain open until filled.

Complete applications must include :

Curriculum vitae

A description of research interests

Arrange for three letters of recommendation to

For further information and questions please contact Walter Hopkins at

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $70758.00-$117925.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as but not limited to the scope and responsibilities of the position the qualifications of the selected candidate business considerations internal equity and external market pay for comparable jobs. Additionally comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer and in accordance with our core values of impact safety respect integrity and teamwork Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any 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 Argonnes 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.

Required Experience :

IC

Key Skills

Business,Information Management,Accounting,Corporate Risk Management,Faculty,Jms

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 70758 - 117925