Postdoctoral Research Associate in Bayesian Machine Learning – University of Cambridge

We are seeking a highly creative and motivated postdoctoral Research Associate to join the Machine Learning Group ( in the Department of Engineering, University of Cambridge, UK, working with Professor Zoubin Ghahramani. The research area for this position is Bayesian Machine Learning and the position is funded through an EPSRC project on Advanced Bayesian Computation for Cross-Disciplinary Research. The aim of this project is to develop novel algorithms for probabilistic modelling applicable across a range of physical, biological and social sciences. The project is a collaboration between Cambridge (Engineering), Warwick (Systems Biology), Sussex (Astronomy), and Kent (Statistics). The position will be for two years, starting September 1, 2011 or soon afterwards, with possible extension for a further year.

The successful applicant will have or be near completing a PhD in computer science, engineering, statistics or a related area, and will have extensive research experience and a strong publication record in statistics, probability, or machine learning. Preference will be given to applicants with some experience in large-scale modelling with Bayesian methods, non-parametric Bayesian models, and approximate inference.

Applications must be sent by email to Diane Unwin, dsu21(at), and must include a brief letter of application, a CV including a list of publications in pdf format, and names and email addresses of 2-3 referees. The cover sheet for applications, PD18 is available from Applications should be sent so as to reach us not later than ** July 5th, 2011. **

The University is committed to equality of opportunity

Zoubin Ghahramani
Professor of Information Engineering
University of Cambridge