Kavli Institute for Particle Astrophysics and Cosmology, Stanford University

765 12596
Position ID:Stanford-KIPAC-LZSD [#12596]
Position Title: SOFTWARE DEVELOPER – DATA SCIENCE LUX-ZEPLIN DARK MATTER SEARCH SLAC NATIONAL ACCELERATOR LABORATORY
Position Type:Other
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 2018/10/30, listed until 2019/01/31)
Position Description:    

The LUX-ZEPLIN (LZ) Dark Matter Group at SLAC has an immediate opening for a Software Developer 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 focus of this appointment is to contribute to the development and optimization of the LZ software infrastructure and reconstruction framework. The successful candidate will oversee the optimization of the LZ software stack for the existing multicore architecture and prepare it for the next generation of supercomputers. The role includes membership in the LZ operations team, and key responsibilities over the data handling and data processing pipeline.

The ideal candidate will have a background of demonstrated excellence in computing and a MS or PhD in experimental particle physics, astronomy, computer science, or related field; or at least three years of relevant experience in software engineering. Familiarity with multicore computing, large-scale data handling, HEP software frameworks (ROOT, Gaudi, Geant4) and release engineering/continuous integration tools are highly beneficial. The initial appointment is for three years, with the possibility of extension for additional years or conversion to a regular continuing position upon satisfactory performance. Assignment duration is contingent upon project needs and funding.

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

© 2018 AcademicJobsOnline.Org. All Rights Reserved.