Computational Physics Project Scientist/Engineer

📁
Research/Science
💼
DD-Data Science
📅
94097 Requisition #

Lawrence Berkeley National Lab’s (LBNL) Computational Research Division has an opening for a Computational Physics Project Scientist/Engineer to join the team.

In this exciting role, you will work in Berkeley Lab’s (LBNL) Physics and X-ray (PHAX)group in the Scientific Data Division. The PHAX group is a leader in computational physics research and software development for the next generation of Physics experiments.  The LBNL ATLAS group has led core software development for the ATLAS experiment at CERN for two decades and plays a key role in algorithm design for detector simulation and pattern recognition, with a particular focus on application frameworks and parallel algorithms targeting HPCs, and ML models.  The Dark Energy Science Collaboration (DESC) is the international science collaboration that will make high accuracy measurements of fundamental cosmological parameters using data from the Rubin Observatory Legacy Survey of Space and Time (LSST). The Project Scientist will contribute to ATLAS and LSST-DESC software development where they will have the opportunity to take technical leadership roles in one or more tasks.  They will participate in existing R&D efforts, notably the HEP-CCE and SCIDAC-4 “HEP on HPC” projects. Depending on their experience and interests, they will have the opportunity to propose new R&D projects in collaboration with computational physicists, data scientists, and software engineers in the ATLAS experiment, the Scientific Data and Physics Divisions, ESnet, and NERSC.

 

What You Will Do:

  • Collaborate with computer scientists, physicists, and mathematicians at LBNL on the development of software for HEP experiments.
  • Work on the optimization of several existing software pipelines in HEP experiments.
  • Contribute to one or more of the ongoing projects within the group, including gaining the requisite skills for the development of software for high-performance computing systems and the development of new algorithms and adaption of existing software for accelerators at heterogeneous system architectures.

 

Additional Responsibilities as needed:

  • Identify and contribute to scientific projects within ATLAS & LSST-DESC (e.g. data analyses) that require significant computing and assist in developing new workflows to assist these projects.
  • Contribute to the effort in one or more software areas, organizing the work across the collaboration.
  • Contribute to projects centered on infrastructure for and applications of machine learning.
  • Contribute to the research and development of software towards the HL-LHC.
  • Identify and propose new research projects aligned with the group priorities. 

 

What is Required:

  • Bachelor or equivalent degree in computer science, physics, or related fields.
  • At least two years of relevant experience.
  • Experience with scientific software development in C/C++ and python
  • Ability to communicate effectively, and to contribute to a large software project.
  • Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.

 

Additional Desired Requirements:

  • Experience with common HEP software (Geant4, Pythia8, MadGraph5_aMC@NLO, ROOT, etc).
  • Experience with high-performance computing systems and software optimization.
  • Experience with parallel programming methods for heterogeneous architectures (CUDA, SYCL, HIP, Kokkos, OpenMP, OpenACC)
  • Experience with parallel programming methods for distributed computing systems (Ray, Dask, HPX)
  • Experience with machine learning applications and development.

 

Notes:

  • This is a full-time 3 years, term appointment with the possibility of extension based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • This position will be remote initially but limited to individuals residing in the United States tentatively until 2021 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Equal Employment Opportunity:

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

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Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law." and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.