Postdoc US ATLAS / CSI HEP-CCEJob ID 2211 Date posted 06/11/2020
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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.
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
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.
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