Computational Physics Postdoctoral Fellow

Berkeley Lab’s Physics and X-Ray Science Computing (PHAX) Group in the Computational Research Division is hiring for a Computational Physics Postdoctoral Fellow. 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 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. You will have the opportunity to contribute to one or more PHAX research projects, and to collaborate with computational physicists, data scientists, and software engineers in the Computation Research Division, the Physics Division, 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.
• Contribute to the effort in one or more ATLAS software areas.
• Contribute to projects centered on infrastructure for and applications of machine learning.

 

What is Required:

• Ph.D. in data sciences, computer science, software engineering, applied physics, physics, astronomy, or a related field.
• 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.

 

Desired Qualifications:

• 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, 1 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• 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 to view the poster and supplement: "Equal Employment Opportunity is the Law."