SLAC National Accelerator Laboratory seeks an early-career researcher to apply machine learning (ML) to the physical sciences. SLAC is one of the world’s premier research laboratories, with internationally leading capabilities in photon science, accelerator physics, high energy physics (HEP), and energy sciences. Machine learning is expected to play an important role in nearly every major project at SLAC. Applications include deep learning for detector analysis, online control of facilities, surrogate models for high-fidelity simulations, and new modes of data analysis to handle data rates that can reach TBs/second.
The new ML initiative was founded to push the limits of SLAC’s highest impact science.. The role is interdisciplinary and collaborative, and the candidate will work jointly with scientists and engineers at SLAC, academics at Stanford, industrial partners in Silicon Valley, and facility users from around the world. Finally, the candidate should have a creative spark to tackle unsolved problems in science.
Example projects from previous internships:
Opportunities and Benefits:
Note: This is a dual listing for both level II and level II interns. A level III internship positions will have substantial responsibility for determining and coordinating the research project with others. Originality, analysis, and judgment are required to carry out work. The supervisor reviews work when guidance is required.
This is an hourly, non-benefits eligible temporary-nonexempt, internship position (work at 50% full-time equivalent or more), not to exceed 980 hours in six consecutive months. Eligible applicants must be at least 18 years of age and currently enrolled in an educational program or recently graduated and have US work authorization. All accepted candidates must have or be able to timely acquire US work authorization. A minimum commitment requested is 8 weeks.
SLAC is a U.S. Department of Energy (DOE) laboratory operated by Stanford University and based in Menlo Park; CA. Due to COVID-19-related curtailment of on-site activities, the job duties for this position may be required to be performed from home until full site access is restored.
To be successful in this position:
SLAC employee competencies:
Physical requirements and working conditions:
SLAC National Accelerator Laboratory looks for a Intern - Research Support/Machine Learning in Research Support/Machine Learning - Menlo Park, CA location.
The proposed salary for Data Science Intern position at SLAC National Accelerator Laboratory is Not disclosed.
According to the common industry standard, Data Science Intern specialist is in charge for the following activities.
To be disscussed with candidate
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