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Postdoctoral Fellow

The University of Texas at Austin · Physics · United States

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About this position

  • The dark matter direct detection group at the University of Texas at
  • Austin is seeking exceptional candidates for the role of Postdoctoral
  • Fellow. The chosen candidate will primarily work on the LUX-ZEPLIN
  • (LZ) dark matter experiment, splitting their time between offline
  • computing work and data analysis, with a focus on AI/ML techniques.
  • The group, led by Professor Scott Kravitz, focuses on novel methods to
  • improve the sensitivity and scope of dark matter direct detection
  • experiments. Modeling and data analysis for the world-leading LZ
  • experiment is a key area of expertise. Current work includes
  • characterization and removal of rare backgrounds, dark matter searches
  • near threshold, and application of machine learning methods for
  • improved sensitivity. Secondarily, our group is working to develop new
  • particle detector technologies, in particular through the use of
  • crystal xenon as an exceptionally low-background and highly scalable
  • medium. More details are available at out group’s research website:
  • https://kravitz-lab.ph.utexas.edu/.

Expected responsibilities include:

  • Maintaining the ongoing LZ data processing pipeline at NERSC
  • Contributing to other parts of LZ data production including simulations and reprocessing of raw data
  • Contributing to the integration of AI/ML workflows into data production pipelines as they emerge from LZ analysis working groups
  • Leadership in data analysis using AI/ML methods for the LZ dark matter experiment
  • Effectively sharing research findings and expertise, through conferences (including occasional travel), publications, and mentorship both within the group and in the field of dark matter detection

Required qualifications:

  • Ph.D. in experimental particle physics or a related field within the past 4 years (or expected soon after position starts)

Desired qualifications:

  • Familiarity with HPC job submission, working with container environments and/or working with

databases

  • Proficiency with data analysis in Python, C++, ROOT
  • Highly effective communication skills
  • Experience with and desire to perform work in a collaborative environment

Application materials:

  • CV
  • Publication list (highlighting or only including those for which the applicant was a lead author)
  • A statement of past research experiences and future interests, not to exceed three pages
  • Three letters of recommendation (to be submitted online by the reference writers at this site)
  • Applications will be considered until the position is filled. For full
  • consideration, applicants are encouraged to submit materials no later
  • than November 15, 2026. The start date is negotiable, with candidates
  • ideally starting in the first quarter of 2027. Salary and benefits
  • will be competitive and commensurate with experience and
  • qualifications.
  • The term of appointment is two years initially, with the option for
  • continued yearly renewal after that, not to exceed Five years past the
  • date of Ph.D. conferral.
  • The University of Texas at Austin, as an equal opportunity/affirmative
  • action employer, complies with all applicable federal and state laws
  • regarding nondiscrimination and affirmative action. The University is
  • committed to a policy of equal opportunity for all persons and does
  • not discriminate on the basis of race, color, national origin, age,
  • marital status, sex, sexual orientation, gender identity, gender
  • expression, disability, religion, or veteran status in employment,
  • educational programs and activities, and admissions.

How to apply

  1. Read the full advert on the source site — it carries the authoritative terms.
  2. Prepare your SOP, CV, transcripts and referees before the deadline.
  3. Apply through the university's own portal. Never pay a fee to a third party.

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