POSITION OVERVIEW:

The SLAC FPD Theory group plans to appoint a postdoctoral Research Associate (RA) for a 1.5-year term, beginning October 1, 2025 or earlier, at the interface of machine learning and quantum field theory. The successful applicant will join a project with Lance Dixon, Kyle Cranmer, and other collaborators at the University of Wisconsin, the Niels Bohr Institute, and elsewhere, which will apply cutting-edge machine learning methods to deciphering the analytic structure of scattering amplitudes in quantum chromodynamics and a related theory, planar N=4 super-Yang-Mills theory.
The senior members of the SLAC FPD theory group are: Lance Dixon, Alexander Friedland, Rebecca Leane, Bernhard Mistlberger, Michael Peskin, Thomas Rizzo, Philip Schuster and Natalia Toro.
The group’s broader interests cover quantum field theory, particle theory, and the interface of particle physics and astroparticle physics. There are a variety of other machine learning and AI efforts at SLAC and Stanford, including Stanford Data Science. Applications should include a CV, a statement of research interests, a publication list, and the names of three senior physicists or computer/data scientists who will provide letters of recommendation. SLAC is an affirmative action, equal opportunity employer.
Applications should be received before April 30, 2025 for full consideration.

• Conduct research in theoretical particle physics and machine learning.
• Participate in and contribute to general group activities
• Present your research results at seminars, scientific conferences and workshops.