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title
description
SafeAILab@CMU homepage
image
site name
author
Yingchen Ma
updated
2025-12-19 22:25:12
raw text
CMU Safe AI Lab Scholar Twitter Instagram CMU Safe AI Lab Research laboratory at Carnegie Mellon University The Safe AI Lab at CMU aims to develop reliable, explainable, verifiable, and good-for-all artificial intelligent learning methods for consequential applications in the face of the uncertain, dynamic, time-varying, multiple agents, and possibly human-involved environment by bridging fundamental learning theories and engineering technologies. The lab is recognized nationally and internationally for its research on autonomous vehicles and trustworthy AI. The lab has worked with many industrial partners, including Google Deepmind, Amazon, Ford, Uber, IBM, Adobe, Bosch, Toyota, and Rolls-Royce. Positions are available for postdocs, PhDs, CMU master students, CMU undergraduates, and external undergraduate interns. For postdocs, we prefer candidates who have experience in proposal writing and team managment. For PhD applicants, we prefer ...
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