We are seeking up to three highly creative and motivated Postdoctoral
Research Associates/Assistants to join the Machine Learning Group
(http://mlg.eng.cam.ac.uk) 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.
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 modelling with Bayesian methods, non-parametric Bayesian
models, approximate inference and experience with reinforcement learning
or control.
To apply complete form CHRIS/6
(http://www.admin.cam.ac.uk/offices/hr/forms/chris6/)
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 to
Diane Hazell (
dsu21@eng.cam.ac.uk ).
Applications should be sent so as to reach us not later than 25 November 2013.
Quote Reference: NM01955 (Posts 1 and 2), or NM01954 (Post 3).
No hay comentarios:
Publicar un comentario