What started as a group of 200 people, all focused on a single project – to build and operate the world’s longest linear accelerator – has grown over the last 60 years into a large and diverse workforce that performs and supports cutting-edge research across a variety of disciplines. Our 1,700 employees include scientists, engineers, technicians and specialists in a wide range of operational support areas, from human resources and business services to facilities, security and maintenance, all working together in a collaborative environment.
SLAC employs the best and brightest minds in their fields, and every member of our staff, working individually and in teams, makes important contributions to our success. By tapping into the interest and motivation of our employees and offering guidance and opportunities for development, we seek to provide an enriching work environment.
As Stanford employees, SLAC staff members have the opportunity to partner with other world-class talent at one of the world’s best universities and can also take advantage of the many educational and social opportunities that Stanford offers.
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11-50 employees
View all Stanford Linear Accelerator Center employees
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Research
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2575 Sand Hill Road, Menlo Park, California 94025, US
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1962
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Modeling, Electron-Based Accelerator Research And Technology, Particle Detector Research And Technology, Particle Physics And Particle Astrophysics, Theory And Innovative Techniques For Data Analysis, Simulation In Photon Science
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The decision makers in Stanford Linear Accelerator Center are Bill White, Hal Tompkins, Hamid Shoaee, etc. Click to Find Stanford Linear Accelerator Center decision makers emails.
SLAC offers a range of services focused on advanced research in particle physics, photon science, and accelerator technology. This includes access to cutting-edge facilities for electron-based accelerator research, particle detector development, and innovative data analysis techniques. Researchers and institutions can collaborate with SLAC to utilize its resources for experimental and theoretical studies in various fields of science.
Collaboration opportunities at SLAC are available for academic institutions, industry partners, and government agencies. Interested parties can reach out through the SLAC website to explore partnership options, which may include joint research projects, access to facilities, and participation in workshops and seminars. The center encourages interdisciplinary collaboration to advance scientific knowledge and technology.
SLAC's research and technology have applications across various industries, including healthcare, materials science, energy, and environmental science. For instance, advancements in particle physics can lead to improved imaging techniques in medicine, while photon science research can enhance materials development for renewable energy technologies. SLAC's work supports both fundamental research and practical applications that drive innovation in multiple sectors.
SLAC provides a variety of educational programs aimed at students, postdoctoral researchers, and professionals in the field. These programs include internships, workshops, and summer schools focused on accelerator physics, particle detection, and data analysis techniques. Additionally, SLAC collaborates with universities to offer courses and training that enhance the skills of the next generation of scientists and engineers.
SLAC plays a crucial role in advancing our understanding of the fundamental components of matter and the universe. Its research in particle physics helps uncover the properties of subatomic particles, contributing to the Standard Model of particle physics. In astrophysics, SLAC's work aids in exploring cosmic phenomena, dark matter, and the origins of the universe. This research not only enhances scientific knowledge but also has implications for technology development and societal challenges.
SLAC is at the forefront of developing innovative data analysis techniques to handle the vast amounts of data generated by its experiments. The center employs advanced computational methods, machine learning, and simulation techniques to extract meaningful insights from complex datasets. SLAC also collaborates with tech companies and academic institutions to refine these techniques, ensuring that they remain cutting-edge and applicable to a wide range of scientific inquiries.
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