The SLAC FPD Theory group plans to appoint a postdoctoral Research
Associate (RA) for a 3 year term, beginning October 1, 2023 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,
META AI, and the Niels Bohr Institute,
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, JoAnne Hewett, 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
December 1, 2022 for full consideration. https://theory.slac.stanford.edu/
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