Postdoctoral Fellowship in Causal Discovery We are looking for a postdoctoral fellow for collaborative work extending existing causal discovery algorithms at Monash University. Possible research projects include developing methods of learning dynamic Bayesian networks from time series data, learning causal structures under difficult conditions, or developing methods for evaluating causal discovery algorithms. Applicants must have a PhD in Computer Science, Statistics, or a related discipline and a background in machine learning, Bayesian networks or computational statistics. The position will involve collaboration with Dr Ann Nicholson and Dr Kevin Korb, who have a range of theoretical and applied projects in causal discovery and Bayesian network technology at the Clayton School of Information Technology, Monash University, Melbourne, Australia.
Applicants should have between two and eight years of post-doctoral experience as of September 2008. A successful applicant will be appointed as Research Fellow (Level B) beginning January 2009, with a salary per annum up to $AUD82,951 and $AUD50,000 additional research support for 5 years. Applicants should send a CV and cover letter by email to [EMAIL PROTECTED] and [EMAIL PROTECTED] =========================================== -- A/Prof. Ann Nicholson Clayton School _--_|\ www.csse.monash.edu.au/~annn/ of Information Technology, / \ phone: +61 3 9905 5211 Monash University, VIC 3800 \_.--.*/ fax: +61 3 9905 5146 Australia v [EMAIL PROTECTED] _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
