Two Postdoctoral Research Positions in Machine Learning University of Cambridge, UK
We are seeking two highly creative and motivated Research Assistants/Associates to join the Machine Learning Group at the University of Cambridge. The positions are for up to 24 months with a possible extension. Details below! http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017) http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017) The two positions are funded by Samsung. The successful candidates will collaborate with Professor Zoubin Ghahramani, Dr. José Miguel Hernández Lobato, Dr. Isabel Valera and Professor Carl E. Rasmussen, including one PhD student funded by the same grant and Samsung data scientists. Interviews are expected to happen in mid-September 2017 at the Department of Engineering. A skype interview will be possible for applicants who cannot attend in person. ———————— Post 1: This postdoctoral Research Fellow will be working on areas related to deep learning and Bayesian methods, as well as ideally having an interest in one-shot learning, semi-supervised learning and active learning. Experience in two or more of the following areas will be necessary: Bayesian methods, deep learning, one-shot learning, semi-supervised learning and active learning. http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017) ———————— Post 2: This postdoctoral Research Fellow will be working on automating machine learning methods, addressing problems of automatic data preprocessing and modelling, including missing data estimation and outlier identification. Experience in two or more of the following areas will be necessary: Bayesian methods, probabilistic programming, MCMC, graphical models, scalable inference. http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017) ———————— Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, mathematics, physics, or a related area, with extensive research experience and a strong publication record. Ideally candidates will have papers in top machine learning conferences such as NIPS, UAI, ICML, ICLR or AISTATS. Excellent mathematical and programming skills are essential. If you have any questions about these vacancies or the application process, contact Mrs. Rachel Fogg, email: di...@eng.cam.ac.uk, Tel: +44 1223 3 32752 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/ _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
