The PHAX group is a leader in computational physics research and software development for the next generation of Physics experiments. Berkeley Lab has led core software development for the ATLAS (https://www.physics.lbl.gov/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. This position will contribute to ATLAS software development where they will have the opportunity to take technical leadership roles in one or more tasks. You will participate in existing research and development efforts, notably the HEP-CCE and HEPonHPC projects. Depending on your experience and interests, you will have the opportunity to propose new research and development projects in collaboration with computational physicists, data scientists, and software engineers in the ATLAS experiment, Berkeley Lab’s Computational Research and Physics Divisions, Energy Sciences Network (ESnet), and the National Energy Research Science Computing Center (NERSC).
What You Will Do:
Collaborate with computer scientists, physicists, and mathematicians on the development of software for high-energy particle physics.
Contribute to one or more of the ongoing projects within the group, including the development of software for high-performance computing systems and the development of new algorithms and adaptation of existing software for accelerators at heterogeneous system architectures.
Contribute to the research and development of software towards the HL-LHC.
Supervise postdoctoral researchers and graduate students working on related projects.
Additional Responsibilities as needed:
Identify and contribute to scientific projects within ATLAS (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 ATLAS software areas, organizing the work across the collaboration.
Contribute to projects centered on infrastructure for and applications of machine learning.
Identify and propose new research projects aligned with the group priorities.
What is Required:
Bachelor’s degree in Computer Science, Physics, or a related field and 2 years of relevant experience; or an equivalent combination of education and 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.
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.
This is a full-time 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
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 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: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster and supplement: "Equal Employment Opportunity is the Law."
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