Research fellowship in machine learning, information theory or artificial intelligence, Canberra (Australia)

The Research School of Computer Science (RSCS) at the Australian National University (ANU) is seeking an outstanding Research Fellow interested in Universal AI with excellent mathematical background and research expertise in Machine Learning, (Algorithmic) Information Theory, (Bayesian) Statistics, Artificial Intelligence or any related area. Possible backgrounds are a PhD, or near completion of a PhD, in mathematics, physics, computer science, engineering, or related. The position holder will be member of the Intelligent Agents team lead by Professor Marcus Hutter, and primarily work on Unifying Foundations for Intelligent Agents.

The position is available immediately - fixed term - for 2 years - potential prolongation by 1-2 more years. Closing Date: 30 June 2016. Further information for applicants is available at http://jobs.anu.edu.au/cw/en/job/508515/ and http://www.hutter1.net/rsise/postdoc15.htm.