The machine learning group at the University of Toronto has recently expanded and we are looking for about 10 new graduate students. The core machine learning faculty include:
Craig Boutilier (Computer Science) Brendan Frey (Electrical and Computer Engineering) Geoffrey Hinton (Computer Science) Radford Neal (Statistics, Computer Science) Sam Roweis (Computer Science) Rich Zemel (Computer Science) In addition, there are many other faculty interested in applying machine learning techniques in specific domains such as vision, speech, medicine, and finance. More details about the individual faculty can be obtained at http://learning.cs.toronto.edu/people.html Possible research areas include: Neural Computation and Perceptual Learning, Graphical Models, Monte Carlo Methods, Bayesian Inference, Spectral Methods, Reinforcement Learning and Markov Decision Problems, Coding and Information Theory, Bioinformatics, and Game Theory. Applications for graduate study in the Department of Computer Science are due by Feb 1. For details of how to apply see http://www.cs.toronto.edu/DCS/Grad/Apply/ ********** Please forward this message ********** ********** to students who may be interested. ********** (sorry if you get multiple copies of this message)
