Scientist I

This Scientist I role involves designing and developing novel AI methods, specifically self-supervised learning techniques for training large-scale foundation models tailored to fundamental physics analyses. The successful candidate will engage in multidisciplinary theoretical work spanning High-Energy Physics, astrophysics, and machine learning while collaborating with Prof. Pettee to lead new research directions and support team cohesion. Responsibilities include conducting literature reviews, developing research methodologies, writing grant applications, and analyzing research data under general supervision.