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Postdoc US ATLAS / CSI HEP-CCE

Job ID 2211 Date posted 06/11/2020

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 STAR, PHENIX and sPHENIX experiments at BNL's RHIC heavy ion collider; and the future electron-ion collider (EIC). NPPS works with other ATLAS efforts at BNL including the Omega group, the Tier 1 facility, the US ATLAS Operations Program, and the US ATLAS Upgrade Project. The mission of the Computational Science Initiative (CSI) is to provide the laboratory an umbrella for research and development activities that address the computational needs of research programs both inside and outside of BNL, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science and provide the necessary computing infrastructure services and training to support efficient operation.

Position Description

The NPPS group has an opening for a postdoctoral research associate to work in an NPPS-CSI collaborative effort on adapting and developing HEP software for efficient execution on modern heterogeneous architectures, particularly GPUs, and optimizing high concurrency workflows on HPCs. The successful candidate is expected to bring their HEP software knowledge to bear on targeted projects to port and create/reengineer offline software packages in collaboration with parallel processing experts in CSI. The individual will be an ATLAS Collaboration member participating in the ATLAS scientific program and ATLAS software projects as well as working jointly with CSI on parallel software aspects. Through these joint projects, the individual will build an expertise base in parallelizing HEP codes, combining their domain knowledge with CS knowledge gained from CSI, and applying this expertise within and beyond ATLAS. The targeted projects will depend on the aptitudes and interests of the successful candidate, and may involve analysis, reconstruction and/or simulation software. The individual will have detailed knowledge of HEP offline software, analysis experience, and an interest in scientific software development as a potential career path. The candidate is expected to play an important role in developing and executing strategies for leveraging GPU-rich resources such as DOE Leadership Class Facilities for HEP computing. The hire will be based at BNL. Domestic and international travel is expected. The position will have an initial 2 year term, with the potential of a 3rd year.

Essential Duties and Responsibilities:

  • In collaboration with computer scientists, develop GPU-capable HEP offline software packages. Examples of packages currently being studied are Patatrack, WireCell Toolkit, and FastCaloSim, applying several portability platforms including Kokkos, SyCL, and Alpaka
  • Evaluate approaches against performance and usability metrics and make recommendations to experiments
  • Participate in the exploitation of large scale heterogeneous computing resources for HEP processing

Position Requirements

Required Knowledge, Skills, and Abilities:

  • PhD in HEP, NP or a related field
  • Demonstrated excellent programming skills in C++
  • Experience in HEP offline software development
  • Familiarity with Python and its scientific software stack
  • Familiarity with software engineering practices that include testing, documentation, source code management, and release procedures
  • Clear and concise writing, interpersonal communication, and analytical skills

Preferred Knowledge, Skills, and Abilities:

  • Knowledge of major HEP software packages such as Geant4 and ROOT
  • Experience with one or more of the following: software performance evaluation and optimization; machine learning and data analytics; parallel processing and/or real time programming; GPU programming and languages such as CUDA; HPC computing
  • Experience in HEP physics analysis and working on collaborative software projects

BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years. 

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 Plans
  • Dental Plans
  • Vacation
  • Holidays
  • Life Insurance
  • 401(k) Plan
  • Paid Parental Leave
  • Swimming Pool, Weight Room, Tennis Courts, and many other employee perks and benefits


We invite you to consider Brookhaven National Laboratory for employment. To be considered for this position, please apply online at BNL Careers and enter the job title into the Keyword Search.

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.

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