Kavli Institute for Particle Astrophysics and Cosmology, Stanford University

765 12622
Position ID:Stanford-KIPAC-LZRA [#12622]
Position Title: RESEARCH ASSOCIATE – DATA SCIENCE LUX-ZEPLIN DARK MATTER SEARCH SLAC NATIONAL ACCELERATOR LABORATORY
Position Type:Postdoctoral
Position Location:Menlo Park, California 94025, United States [map]
Subject Areas: Data Science / Large Scale Optimization
Computational Science and Engineering / High Performance Computing
Astrophysics / Dark Matter
High Energy Physics / Experiment
Appl Deadline:2018/12/18 (posted 2018/11/12, updated 2018/10/31, listed until 2019/01/31)
Position Description:    

The LUX-ZEPLIN (LZ) Dark Matter Group at SLAC has an immediate opening for a Data Science Research Associate to prepare for the upcoming science phase. LZ is a liquid xenon time projection chamber with a 7-ton active target that will provide unprecedented sensitivity to dark matter. The experiment will be located in the Davis Campus at the 4850’ level in the Sanford Underground Research Facility (SURF) with turn on in early 2020.

The SLAC group is responsible for a number of key LZ deliverables, including: offline software, reconstruction, and analysis tools; a system test program to verify detector components in gas and liquid xenon; custom woven mesh grids for the central detector; and a dedicated purification system to remove radioactive krypton from the target.

Computing resources for LZ are hosted at the National Energy Research Scientific Computing Center (NERSC). Data processing and data analysis employ the latest generation of supercomputers, including the Intel Xeon Phi Many Integrated Core Architecture. An upcoming refresh of the supercomputer platform will be based on a combination of CPUs and accelerators, opening the door to advanced machine learning techniques.

The main focus of this appointment is to optimize the LZ software stack (simulation, analysis, reconstruction) to the existing multicore architecture, and to upgrade it in view of the opportunities afforded by the next generation of supercomputers. The successful candidate will also have the opportunity to participate more broadly in the LZ science program, including commissioning, operations, and science analysis, present technical and physics results at conferences and prepare them for publication.

The ideal candidate will have a background of demonstrated excellence in research and a recent PhD in experimental particle physics, computer science, astronomy, or related field; or have completed the requirements for such a degree prior to starting the position. Familiarity with multicore computing, large-scale data handling, standard HEP software frameworks (ROOT, Gaudi, Geant4) and machine learning tools are highly beneficial. This is a 24 months fixed term position with the possibility of extension upon satisfactory performance. Assignment duration is contingent upon project needs and funding. Exceptionally qualified candidates may be considered for an appointment at the Project Scientist level.

Selection of candidates will start December 19, 2018 and will continue until the position is filled.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
https://lz.slac.stanford.edu/
email
 
SLAC National Accelerator Laboratory
2575 Sand Hill Road
MS 29
Menlo Park, CA 94025

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