CALL FOR APPLICATIONS POSTDOCTORAL RESEARCH SCIENTIST Probabilistic Inference - Machine Learning - Decision Making Statistical Computing - Bayesian Theory & Applications Computer Vision - Coding - Speech Recognition - Bioinformatics Our group at the University of Toronto would like to hire one or more postdoctoral research scientists. The successful applicant(s) will work on theoretical and applied research in areas such as those listed above. Faculty members in our group and their interests are as follows: Craig Boutilier http://www.cs.toronto.edu/~cebly Markov decision processes, reinforcement learning. Probabilistic inference. Economic models of agency, combinatorial auctions. Preference elicitation, interactive optimization under uncertainty. Brendan Frey http://www.cs.toronto.edu/~frey Graphical models, machine learning, variational techniques, loopy belief propagation. Computer vision. Speech recognition. Iterative error-correcting decoding. SAR and MRI imaging. Bioinformatics. Radford Neal http://www.cs.toronto.edu/~radford/ Bayesian modeling with neural networks, Gaussian processes, and mixtures. Markov chain Monte Carlo methods. Low density parity check codes. Empirical assessment of learning methods. Jeffrey Rosenthal http://markov.utstat.toronto.edu/jeff/ Probability theory and stochastic processes. Markov chain Monte Carlo theory and methods. Convergence rates of Markov chains. Randomized algorithms. Random walks on groups. Rich Zemel http://www.cs.toronto.edu/~zemel Unsupervised learning, boosting. Perceptual learning, representations of visual motion, multisensory integration. Neural coding, probabilistic models of neural representations. The group currently consists of the above faculty members, 2 postdoctoral researchers and 25 graduate students and has joint projects with Microsoft Research, Xerox PARC, the University of Illinois at Urbana-Champaign, the University of British Columbia, the University of Waterloo, and Simon Fraser University. Applicants should * have a solid background in one or more of the areas described above * have good scientific skills * be good at writing software to implement and evaluate algorithms Successful applicants who wish to do so will have the opportunity to apply to do sessional teaching in the departments of Computer Science, Statistics, or Electrical and Computer Engineering. Applicants should EMAIL a CV, the email addresses of 3 references, and a short description of their research interests and goals as a postdoc (ascii format, < 500 words) to Brendan Frey at [EMAIL PROTECTED]
