The Auton Lab, part of Carnegie Mellon University's School of Computer Science, researches new approaches to Statistical Data Mining. It is directed by Artur Dubrawski and Jeff Schneider. We are very interested in the underlying computer science, mathematics, statistics and AI of detection and exploitation of patterns in data.
We build practical large-scale deployments of very highly autonomous self-improving systems. We gratefully acknowledge funding support from NSF, DARPA, NASA, USDA, CDC, FDA, DHS, DoD, the State of Pennsylvania, other agencies, and over a dozen Fortune 500 companies with whom we have collaborated.
Postdoctoral positions are available. We will consider applicants in most areas of machine learning. We are currently especially interested in graph mining, active learning, anomaly & event detection, time series analysis and machine learning algorithms in general on very large data sets. Please email your CV and a statement of research interests to schneide [at] cs [dot] cmu [dot] edu and awd [at] cs [dot] cmu [dot] edu.
The Auton Lab is 24 years old in 2017! Congratulations and Thank You to all who helped make this possible!