Postdoctoral Appointee - Data Analysis for Large-scale Gamma-ray Spectrometers

Argonne National Laboratory

Argonne, IL

Job posting number: #7100067 (Ref:413341)

Posted: May 13, 2022

Application Deadline: Open Until Filled

Job Description

Argonne National Laboratory seeks a postdoctoral appointee to conduct research in data analysis for large-scale Gamma-ray spectrometers. The successful candidate will be hired in the Mathematics and Computer Science Division and will work closely with scientists in the Low-Energy Nuclear Physics Research Group (LER) of the Physics Division. The detection of gamma-ray emission from excited nuclear states plays a vital role in nuclear science.  The goal of this multi-disciplinary project is to attack two open and connected problems in the utilization of large gamma-ray arrays, namely (1) to make significant improvements in Gamma-ray tracking as it applies to GRETINA/GRETA, and (2) to develop a new framework for the construction of nuclear level schemes which are the major end products of these world-class spectrometers. We aim to leverage advances in machine-learning, high-performance computing, and physics insight to achieve this goal.
 

This project brings together two world-leading divisions, Mathematics and Computer Science, see https://www.anl.gov/mcs and Physics, see https://www.anl.gov/phy. As a leader in the computing sciences, the MCS Division provides the numerical tools and technology for solving some of our nation’s most critical scientific problems. The Argonne Physics Division has programs in low energy and medium energy nuclear physics, nuclear theory, nuclear data, accelerator R&D and operates the DOE Office of Science, Office of Nuclear Physics National User Facility, the Argonne Tandem-Linac Accelerator System (ATLAS). In addition to our world-class research, we develop the software for some of the fastest, most powerful computer systems in the world: systems that are enabling scientists to tackle problems previously considered infeasible. 

Position Requirements

  • Recently received or near completion of their Ph.D. in physics, applied mathematics, computer science, or related discipline within the last 3 years.
  • Graduate/postgraduate research in machine learning, and programming experience (Python, PyTorch, C/C++, or Fortran).
  • In addition, experience in one or more of the following: design of nuclear physics experiments and physics interpretations, data analysis, and mathematical optimization.

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.

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.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


Apply Now

Please mention to the employer that you saw this ad on Sciencejobs.org

More Info

Job posting number:#7100067 (Ref:413341)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
More jobs from this employer