AISB opportunities Bulletin Item
Postdoctoral Fellowships in Computational Models of Visual Learning
POSTDOCTORAL FELLOWSHIPS IN COMPUTATIONAL MODELS OF VISUAL LEARNING The Canadian Institute for Advanced Research is providing funding for two Junior Fellows in their program on Neural Computation and Adaptive Perception. The Junior Fellows will already have a PhD in Computer Science, Computational Neuroscience or a related discipline and they will already have an exceptional track record of original research. The Junior Fellows will pursue their own research program which should be related to computational approaches to how visual systems can be learned, preferably with some relevance to biological visual systems. The Junior Fellows will have their own travel funds and a stipend of at least 60,000 Canadian dollars per year. They will interact extensively with other fellows and scholars of the Canadian Institute for Advanced Research, including members of other research programs. The fellowships will last for at least two years starting in late 2008 or early 2009. They can be held at any of the Canadian Universities that already have fellows or scholars of the Program in Neural Computation and Adaptive Perception. These Universities are: University of British Columbia: David Lowe, Kevin Murphy University of Montreal: Yoshua Bengio University of Toronto: David Fleet, Brendan Frey, Aaron Hertzmann, Geoffrey Hinton, Sam Roweis, Richard Zemel York University: Hugh Wilson A description of the Neural Computation and Adaptive Perception program can be found under "research" at http://www.ciar.ca/web/home.nsf/pages/home Applications should be sent to email@example.com and must be received by July 31 2008. Applications must consist of emails in plain text with attachments that are pdf files. Attachments should include a CV, up to 3 recent papers, and a research plan of less than two pages that includes a clear statement of who the applicant plans to interact with, which university the fellowship will be held at, and a proposed starting date.