Stanford University / SLAC National Accelerator Laboratory, FUNDAMENTAL PHYSICS DIRECTORATE

Position ID:Stanford University / SLAC National Accelerator Laboratory-FUNDAMENTAL PHYSICS DIRECTORATE-RADUNE3 [#16525]
Position Title: Research Associate - Neutrino Physics
Position Location:Menlo Park, California 94025, United States [map]
Subject Area: Physics
Appl Deadline:2020/08/15 11:59PMhelp popup (posted 2020/07/08, listed until 2020/12/14)
Position Description:    

The SLAC National Accelerator Laboratory is seeking applicants for an experimental Research Associate position to work in the area of Neutrino Physics. SLAC is a member of the Deep Underground Neutrino Experiment (DUNE), MicroBooNE, and ICARUS collaborations, all of which will use Liquid Argon Time Projection Chambers (LArTPC) to detect neutrino interactions, as well as the T2K collaboration. DUNE, the future flagship experiment for the US high energy physics program, , will have a 1300 km baseline and will provide the world's best measurements of neutrino oscillations. MicroBooNE and ICARUS are short-baseline experiments exploring anomalies observed in MiniBooNE and LSND, and measuring neutrino-Ar cross-sections. MicroBooNE is currently taking data and ICARUS will begin in 2020. T2K is a long baseline experiment currently operating to establish the first indications of CP violation in neutrino oscillations. The experiments are at different development stages, which will allow the successful candidate to participate in the near-term physics opportunities of MicroBooNE and ICARUS and contribute to the R&D for DUNE. Current SLAC involvement in MicroBooNE, ICARUS and DUNE:

  • Machine Learning (ML) techniques R&D for LArTPC data reconstruction and analysis
  • Cross-section and oscillation physics analysis
  • Astroparticle and exotic physics search
  • R&D and prototyping for the DUNE near detector
  • Cryogenic Electronics

The successful candidate will be expected to take on significant responsibility in ML techniques development and hardware R&D programs as well as physics data analysis. The SLAC group is taking a core role for the design and construction of a pixel-based, 3D imaging LArTPC for the DUNE near detector proto-type, expected to take data in 2021. The group has led the development of a ML-based full data reconstruction chain for both pixel and wire LArTPCs (ICARUS, ProtoDUNE, DUNE far detector), and is expanding the ML research focus onto systematic uncertainty estimation and generative models for a mitigation of domain (e.g. data v.s. simulation) discrepancies.  

Further opportunities to participate in any part of the group activities will be given to the successful candidate. The term of these positions is two years in the first instance and may be renewed. Please contact tanaka@slac.stanford.edu for more information.


Qualifications

Candidates should either have a recent PhD in experimental particle physics, or have completed the requirements for such a degree prior to starting the position. Familiarity in any combination of the following areas will be valued: machine learning techniques, scalable software development for modern distributed computing environment, statistical analysis, cryogenic detector design and engineering. 


How to Apply:

Submit the following items online at this website to complete your application:


  • Cover Letter 
  • Curriculum Vitae
  • Publication List
  • Research Statement (maximum 3 pages)
  • Three Reference Letters (to be submitted by the reference writers at the AcademicJobsOnline)

Processing of applications for these positions will begin on 15th August, 2020 and remain open until the position is filled.



SLAC National Accelerator Laboratory is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All staff at SLAC National Accelerator Laboratory must be able to demonstrate the legal right to work in the United States. SLAC is an E-Verify employer.



Further Info:

http://deeplearnphysics.org and






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:
email
 
SLAC National Accelerator Laboratory
2575 Sand Hill Road, MS 94
Menlo Park, CA 94025

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