Intern - Machine Learning and Accelerator Operations

SLAC Job Postings

Position Overview:

The AD Advanced Accelerator Research department is offering internships for undergraduate and graduate students at SLAC National Laboratory. The internship will focus on application of machine learning to accelerator operations.

We are seeking a motivated and talented Machine Learning Intern to join our team and apply machine learning techniques to the operation and optimization of our particle accelerators. In this role, you will work alongside experienced scientists and engineers to develop and implement machine learning algorithms to improve the performance, efficiency, and safety of our particle accelerators.

Specific responsibilities (include but are not limited to):

• Collaborate with the team to integrate machine learning algorithms into the overall control system of the particle accelerator
• Design, develop, and implement machine learning algorithms to address challenges in particle accelerator operation
• Document your work and contribute to scientific publications and presentations

Opportunities and Benefits

• Growth and mentorship from exceptionally talented engineers and scientists from SLAC and Stanford University
• A mission-driven, stable, collaborative, highly interdisciplinary, and supportive work environment
• Opportunity to experience a multidisciplinary research environment, integrating knowledge from many subject areas spanning the physical sciences, applied mathematics, and software engineering

Note: 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, currently enrolled in an educational program or recently graduated, and have US work authorization.

To be successful in this position, candidates should:

• Pursuing a Bachelor's, Master's or Doctoral degree in a science, engineering or equivalent discipline.
• Experience with python programming language
• Strong problem-solving skills and the ability to work independently and collaboratively
• Excellent communication skills and the ability to present complex ideas clearly and effectively

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.

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: SLAC Intern Students

Job code: 0901

Intern Level: III

The expected pay range for this position is $21.08 to $27.83 per hour. 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.