Junior and Senior Machine Learning Researchers The Statistical Machine Learning Research Group, based in Canberra, is a team of junior and senior researchers, software engineers and PhD students who pursue fundamental research in principled methods for data analysis and its applications to a variety of fields, including document and text analysis, computer vision and pattern recognition. We work at the intersection of theory, methods and applications. As such, our staff and students are encouraged to collaborate broadly and we are committed to using machine learning to address diverse areas.
We are looking for applicants at the senior level and the junior level who have a strong track record of basic research and research leadership in one or more of the following areas: • Document Analysis, • Computer Vision • Graphical Models • Kernel Methods • Learning Theory The successful applicants will have an excellent publication record and experience with supervising students. The group is particularly interested in candidates with both a strong methodological background and experience in practical domains or commercialisation. A record of industry or government collaboration is also desirable. The appointees will be eligible for an adjunct position at the College of Engineering and Computer Science, Australian National University. Consequently, appointees will have the opportunity to teach at the postgraduate level and supervise PhD students. Interested applicants should look at the following websites for more information: • Group website: http://sml.nicta.com.au/ • About NICTA: http://nicta.com.au/about Please direct enquires to the Project Leader Prof. Wray Buntine, [EMAIL PROTECTED] Applications will be assessed during 2008 and a selection made when a meritorious candidate has been identified. -- Wray Buntine Principal Researcher Statistical Machine Learning NICTA | Locked Bag 8001 | Canberra ACT 2601 T +61 2 6267 6323 | F +61 2 6267 6230 www.nicta.com.au | [EMAIL PROTECTED] From imagination to impact. _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
