SLAC National Accelerator Laboratory invites applications for a position in Machine Learning within the Fundamental Physics Directorate with applications that cross the Energy, Intensity, Cosmic, and Theoretical Frontiers.
Research efforts will cover the broad area of Machine Learning (ML) with the development of state-of-the-art ML applications for data analysis and simulations for High Energy Physics (HEP) experiments. By developing ML techniques and applications from the three experimental frontiers plus theoretical physics, this position builds synergies across all of SLAC HEP programs in the domain of ML. The position will also interface with the SLAC lab-wide effort in ML and further embed HEP ML in the lab effort.
The Fundamental Physics Machine Learning effort pursues research in a broad range of subdisciplines, including the development of a suite of inter-related methodologies all aimed at enabling principled scientific inference from large HEP datasets, including computer vision applications and hierarchical and simulation based inference techniques driven by ML. The former is essential for data analysis of imaging detectors including time projection chambers, telescopes, satellites, calorimeters, and high speed pixel devices. The latter is a promising approach for embedding physics knowledge into ML principles and for building structured data analysis, uncertainty quantification, and parameter estimation.
Your specific responsibilities include:
- Conduct research in HEP Machine Learning applications across the programs.
- Interface with SLAC laboratory wide ML efforts.
- Prepare the results of studies for publication, and participate in scientific meetings.
- Participate in and contribute to general group research activities.
- Represent your research results at seminars, scientific conferences and workshops.
Note: This position is posted at the Associate Scientist level. The Associate Scientist position is a 3 to 5 year fixed-term research staff position, and is considered a career-track position to become Staff Scientist, which is a regular continuing position.
Applicants should include a cover letter, a statement of research including brief summary of accomplishments, a curriculum vitae, a list of publications, and names of three references for future letters of recommendation with the application.
To be successful in this position you will bring:
- Ph.D. in physics or related field and 3 years of research experience in Theoretical Particle Physics in the broad area of precision calculations.
- Research record as evidenced by a publication record commensurate with level of work experience.
- Carry out independent research, collaborate closely with colleagues conducting research, and participate in the preparation for scientific reviews.
- Assist in the organization and general preparation for possible scientific workshops
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.
- 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
Classification Title: Associate Scientist
Job code: 1092
Duration: Fixed Term