We are seeking two highly creative and motivated Research Fellows to join the Machine Learning Group at the University of Cambridge. The positions are for up to 36 months. Details below!
http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017) http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017) ———————— (1) Research Fellow in Machine Learning with the Leverhulme Centre for the Future of Intelligence We are seeking a highly creative and motivated Research Fellow to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, and the Leverhulme Centre for the Future of Intelligence (http://lcfi.ac.uk), as a joint appointment with a desk in each, primarily based in the CFI, University of Cambridge, UK. This postdoctoral Research Fellow will be working with Professor Zoubin Ghahramani and Dr Adrian Weller on developing theory and methods to ensure that machine learning/artificial intelligence systems are scalable, reliable and interpretable. http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017) Please direct questions about this vacancy to Susan Gowans at sk...@.cam.ac.uk. Please quote reference GO12221 on your application and in any correspondence about this vacancy. ———————— (2) Research Fellow in Machine Learning We are seeking a highly creative and motivated Research Assistant/Associate to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK. The post holder will be working on areas related to deep learning and Bayesian methods, as well as ideally having an interest in machine learning for hardware optimization. The post holder will be funded by a grant from ARM (https://www.arm.com/ )and will act as a liaison to relevant research teams at ARM. The post holder will work in collaboration with Professor Zoubin Ghahramani and Dr Jose Miguel Hernandez Lobato as part of the Machine Learning Group at Cambridge University. http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017) If you have any questions about this vacancy or the application process, please contact Miss Diane Hazell, email: ds...@cam.ac.uk. ———————— In both cases, successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics or a related area, and will have extensive research knowledge and experience in addition to a strong publication record in machine learning, including ideally papers in top machine learning conferences such as NIPS, UAI, ICML, and AISTATS. Excellent mathematical and programming skills are essential. Experience in two or more of the following areas: probabilistic modelling and scalable approximate inference; deep learning, MCMC methods; Bayesian optimization; graphical models will be necessary. ———————— Zoubin Ghahramani FRS Professor, Machine Learning Group, University of Cambridge | http://mlg.eng.cam.ac.uk Chief Scientist, Uber | https://www.uber.com/info/ailabs/ Deputy Academic Director, Leverhulme Centre for the Future of Intelligence | http://lcfi.ac.uk/ Faculty Fellow, Alan Turing Institute | https://www.turing.ac.uk/ _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
