Intern - Machine Learning For Particle Accelerators

Position Overview:

The AD Machine Learning department is offering internships for undergraduate and graduate students at SLAC National Laboratory. The internship will focus on Machine Learningfor Particle Accelerators, using data and scientific knowledge to find solutions to problems in accelerator modeling and control.

The objective of this internship is to give students an opportunity to gain valuable hands-on experience in scientific Machine Learning by working on real-world problems related to their fields of interest. This experience will not only enhance their skills and knowledge in the field. It will also give them a boost when applying for jobs or graduate programs in the future. Interns are paired with a dedicated mentor in their area of interest to ensure a productive and meaningful research experience. Interns may have the opportunity to continue their research during the academic year to fulfill a thesis or other academic requirements.

Specific responsibilities (include but are not limited to):

• Identify and select problem of interest in discussion with the dedicated mentor.
• Outline the nature and quantity of data required for the application, in discussion with the mentor.
• Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor.
• Develop Machine Learning models for the problems under the guidance of the mentor.
• Carry out verification and validation of the Machine Learning models.
• Refine and develop models to integrate scientific knowledge in the model formulation and training phases.
• Prepare reports and scientific publications outlining the advances under the guidance of the mentor.

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.
• Strong communication skills.
• Ability to work in a collaborative environment.
• Passionate about innovative solutions for Science & Engineering problems.
• Some prior experience at Python programming.

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:
• 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,

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Classification Title: SLAC Intern Students

Job code: 0901

Intern Level: II

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.