The SLAC National Accelerator Laboratory (SLAC) is seeking an experimental Research Associate to work on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The LHC presents ideal opportunities for physics measurements and searches, developing experimental experience in a challenging environment of rapidly increasing luminosity, and developing new innovative reconstruction algorithms, detector upgrades, and machine learning applications at the energy frontier. 

The successful candidate is expected to contribute to physics analysis and the development of machine learning techniques and applications for ATLAS / LHC data, such as in reconstruction, simulation, and analysis, while also demonstrating alignment with the SLAC mission and values (https://careers.slac.stanford.edu/working-slac/mission-vision-values).

The SLAC ATLAS group consists of approximately 20 people, of which 3 are currently based at CERN. Information on the SLAC ATLAS group can be found on our web page http://www.slac.stanford.edu/exp/atlas/.

The SLAC group provides exciting and cutting-edge research opportunities on a variety of experimental areas, with current activities and developing interests including:

•   SM and BSM Higgs and di-Higgs physics analysis

•   Machine learning applications in simulation, reconstruction, trigger, and analysis

•   Reconstruction & Performance, including b-tagging, tracking, jets and jet substructure

•   High luminosity upgrade physics and event reconstruction

•   Detector R&D

There is flexibility to take the post at SLAC or CERN.  The potential start time for this position is

Spring/Summer 2023.

Qualifications: 


These are highly competitive positions as part of the general research associate program at SLAC, requiring a background of demonstrated excellence in research and a recent PhD in experimental particle physics, or related field, or have completed the requirements for such a degree prior to starting the position.  Experience with research utilizing machine learning and the associated research tools is highly beneficial. The position is initially a two-year term with the possibility of renewal.

Deadline:

The review of application materials will begin January 31, 2023. The position will remain open until filled.

• Cover Letter

• Curriculum Vitae

• Research Statement

• Publication List

• At least three Reference Letters (to be submitted by the reference writers to AJO site)

SLAC National Accelerator Laboratory is an equal opportunity employer and is committed to increasing the diversity of its community. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the laboratory’s mission.