Postdoctoral Research Associate - Machine Learning in High Energy Physics Detector Operations
About The Position
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).
Requirements
- Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics, or a related field
- Experience with the data from HEP experiments is strongly required
- Programming expertise in Python and either PyTorch or TensorFlow is required
- Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Nice To Haves
- Experience with applying unsupervised ML algorithms such as autoencoders, clustering, to time-series data is preferred
- Experience using High-Performance Computers (HPCs) is preferred
Responsibilities
- Lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments.
- 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.
Benefits
- comprehensive benefits are part of the total rewards package
- Click here to view Argonne employee benefits!
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Professional, Scientific, and Technical Services
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
