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Postdoctoral Research Associate High Energy Physics

Job ID 2593 Date posted 04/14/2021

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University.

Organizational Overview

The Nuclear and Particle Physics Software (NPPS) Group in the BNL Physics Department is an international leader in scientific software development at the most challenging scales. The group collaborates on a growing number of experiments including the ATLAS experiment at the Large Hadron Collider in Europe; the Belle II experiment at the SuperKEKB accelerator in Japan; the DUNE experiment in the US, including the ProtoDUNE experiment at CERN in Europe; the STAR, PHENIX and sPHENIX experiments at BNL's RHIC heavy ion collider; and the future electron-ion collider (EIC).

Position Description

The NPPS group is building a DUNE software team and has an opening for a Research Associate to work on critical elements of future DUNE research using data from the ProtoDUNE experiment. This involves the first steps of data processing which are foundational to improving the physics performance from the detector, covering signal processing, calibration, and reconstruction.  

As a Research Associate on the team, you will work on the calibration and reconstruction of HEP experiment data, specifically liquid argon TPC detectors and their electronics.  Novel techniques, including machine learning algorithms, are particularly important for reconstructing and analyzing ProtoDUNE and DUNE data.  Working with experts in this field will give you opportunities to further advance your competencies. You will apply existing AI/ML techniques to ProtoDUNE data, explore other novel techniques and develop calibration strategies with the goal of defining strategies for the DUNE experiment that will optimize its physics performance.  This position has a high level of interaction with an international and multicultural scientific community. The new team member will be based either at BNL or CERN.  

In this role, you will:

  • Develop and integrate calibration strategies for the DUNE experiment using ProtoDUNE data
  • Contribute to the development and application of AI/ML reconstruction techniques
  • Work on specific physics analysis topics and publications in physics and/or scientific computing
  • Work collaboratively in a team-based research environment
  • Play an important role in optimizing DUNE physics performance  

Position Requirements

Basic Qualifications:

  • PhD in experimental particle physics, nuclear physics, or a related field
  • Demonstrated experience in writing C++ or Python to study and interpret data
  • Clear and concise written and interpersonal communication skills
  • The ability to understand and solve complex problems as part of a team

Preferred Knowledge, Skills, and Abilities:

  • Experience in the calibration and reconstruction of HEP experiment data
  • Experience with liquid argon TPC detectors and their electronics
  • Experience with AI/ML techniques in application to HEP data, preferably including deep learning algorithms
  • Experience in developing software used by a large number of people
  • Familiarity with software engineering practices that include testing, documentation, source code management and release procedures
  • Demonstrated track record of publication of research in high quality peer-reviewed journals and presentations
  • Experience and familiarity with databases

Other Information:

  • Occasional domestic and international travel
  • Initial 3-year term appointment subject to renewal contingent on performance and funding
  • Research Associate appointments are made to candidates who have earned a PhD within the past five years or will complete their degree prior to starting the position
  • The selected candidate will report to Paul Laycock; all potential candidates are encouraged to contact Paul (laycock@bnl.gov) with any questions regarding the position

At Brookhaven National Laboratory, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:

  • Medical, Dental, and Vision Care Plans
  • Flexible Spending Accounts
  • Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave)
  • 401(k) Plan
  • Flexible Work Arrangements
  • Tuition Assistance, Training and Professional Development Programs
  • Employee Fitness/Wellness & Recreation:  Gym/Basketball Courts, Weight Room, Fitness Classes, Indoor Pool, Tennis Courts, Sports Clubs/Activities (Basketball, Tennis, Softball, Table tennis)

Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.

BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.

*VEVRAA Federal Contractor

Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file

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