Postdoctoral Research Associate/Assistant Positions in Machine Learning in UK, 2013

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University of Cambridge is seeking up to three highly creative and motivated postdoctoral research Associates/Assistants to join the Machine Learning Group in the Department of Engineering. Applicants must 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, machine learning and/or control theory. Email your application by 25th November 2013.

Study Subject (s): The scholarship is awarded in machine learning at University of Cambridge, UK.
Course Level: This position is for pursuing postdoctoral research associates/assistants in UK.
Scholarship Provider: University of Cambridge, UK
Scholarship can be taken at: UK

Eligibility: -The successful applicants 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, machine learning and/or control theory.
-Preference will be given to applicants with some experience in large-scale modeling with Bayesian methods, non-parametric Bayesian models, approximate inference and experience with reinforcement learning or control.

Scholarship Open for Students of Following Countries: Applicants from UK are eligible for this postdoctoral research in UK.

Scholarship Description: We are seeking up to three highly creative and motivated Postdoctoral Research Associates/Assistants to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. Post 1: Building an Automated Statistician. This postdoc will be working with Zoubin Ghahramani in collaboration with Google, and should have extensive experience in Bayesian model comparison and scalable approximate inference. Post 2: Probabilistic Programming and Bayesian Nonparametrics. This postdoc will be working with Zoubin Ghahramani in collaboration with MIT and Oxford and should have research experience in these two areas. Post 3: Machine Learning for Autonomous Systems and Control. This postdoc will be working jointly with the Control Group at Cambridge, in a team including Carl Rasmussen, Jan Maciejowski, and Zoubin Ghahramani. This project will focus on bridging Bayesian inference for machine learning, reinforcement learning methods, and Model Predictive Control methods for autonomous and intelligent systems.

How to Apply: To apply complete form CHRIS/6 and send with your CV which should include a list of your publications and names of at least two referees, and a covering letter indicating which posts you wish to be considered for, in pdf format by email .

Scholarship Application Deadline: Applications should be sent so as to reach us not later than 25th November 2013.

Further Official Scholarship Information and Application

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