SLAC Job Postings

The SLAC National Accelerator Laboratory is seeking applicants for two experimental Research Associate positions 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, which will start beam operations in 2028, 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. 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 MicroBooNE and ICARUS and contribute to the R&D for DUNE.

Current SLAC involvement in MicroBooNE, ICARUS and 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

The successful candidates will be expected to take on significant responsibility in physics data analysis as well as software and hardware R&D programs lead by the group. For one of these two positions, we specifically look for expertise in machine learning techniques and/or scalable software development for High Performance Computing (HPC) clusters. Opportunities to participate in any part of the group activities are equally given to both RAs. For further information about these positions, please contact Kazu Terao ( kterao@slac.stanford.edu ).

Given the nature of this position, SLAC is open to on-site and hybrid work options.

Qualifications

These are highly competitive positions as part of the general research associate program at SLAC, requiring a background of demonstrated excellence in research. Candidates should have a recent PhD in experimental particle physics, or in a related fields prior to starting the position. Demonstrated expertise in developing machine learning algorithms and scalable software for distributed computing will be highly valued for one of two positions. The term of these positions is two years in the first instance and may be renewed.

How To Apply

Interested candidates should submit the following online:

A letter of application indicating the primary physics program of interest (Neutrino Physics)
C.V.
Selected bibliography that highlights personal contributions
Brief statement of research interest

Candidates should also ask at least three senior researchers who know their work to provide letters of recommendation.

Processing of applications for these positions will begin on 1st March, 2024.

SLAC Employee Competencies

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.

Physical Requirements And Working Conditions

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.

Work Standards

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1—General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu

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Classification Title: Research Associate-Experimental

Duration: Fixed Term

Job Code: 0127 Grade: G

The expected pay range for this position is $70,000 to $100,000 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

SLAC National Accelerator Laboratory jobs

Research Associate - Experimental (DUNE)