Associate Scientist - DUNE

Position Overview

The SLAC National Accelerator Laboratory is seeking an Associate Scientist to work in the area of Neutrino Physics. SLAC is a member of the Deep Underground Neutrino Experiment (DUNE), Micro

BooNE, 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, which will start beam operations in 2028, will have a 1300 km baseline and will provide the world's best measurements of neutrino oscillations. Micro

BooNE and ICARUS are short‑baseline experiments exploring anomalies observed in MiniBooNE and LSND, and measuring neutrino‑Ar cross-sections. ICARUS is currently taking data. The experiments are at different development stages, which will allow the successful candidate to participate in the near‑term physics opportunities of Micro

BooNE and ICARUS and contribute to the R&D for DUNE.

• Machine Learning Based Data Reconstruction Techniques R&D for LArTPCs
• Cross-section and Oscillation Physics Analysis
• Pixelized LArTPC R&D
• High-Bandwidth Data Acquisition Systems
• Cryogenic Electronics

• Maintain a mission‑critical data reconstruction software for DUNE and SBN collaborations.
• Supervise and lead physics analysis using machine learning techniques for the SBN program.
• Contribute the production of detector hardware for the DUNE near detector.
• R&D in the frontier of AI for science, especially in the area of Foundation Models and Representation Learning, using experimental neutrino datasets.

This position is at the Associate Scientist (Tier
2) level. The Associate Scientist is a 3 to 5 year fixed‑term research staff position. The Associate position is assessed after the 3 to 5 year period with the possibility of appointment to the Staff Scientist level. Appointment to the Staff Scientist level requires a review and evaluation of documented scientific achievement.

Applicants should include a cover letter, a statement of research including a brief summary of accomplishments, a curriculum vitae, a list of publications, and three reference letters with the application.

• PhD in experimental particle physics, or in a related field with at least two years of relevant experience in neutrino physics research
• Demonstrated expertise in developing machine learning algorithms and scalable software for distributed computing
• Effective communication and writing skills for preparing and presenting technical and scientific documentation
• Demonstrated record of scientific productivity through publications.
• Demonstrated ability to work and communicate effectively with a diverse population.
• Demonstrated ability to carry out independent research and collaborate in a team environment.

• Effective Decisions:
  Uses job knowledge and solid judgment to make quality decisions in a timely manner.
• Self‑Development:
  Pursues a variety of venues and opportunities to continue learning and developing.
• Dependability:
  Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
• Initiative:
  Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
• Adaptability:
  Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
• Communication:
  Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
• Relationships:
  Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

• Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. May work extended hours during peak business cycles.
• Given the nature of this position, SLAC is open to on‑site and hybrid work options.

• Interpersonal
  
  Skills:
  
  Demonstrates the ability to work well with Stanford…