Cambridge - Tübingen PhD Fellowships in Machine Learning
The University of Cambridge Machine Learning Group and the Max Planck Institute for Intelligent Systems Empirical Inference Department in Tübingen are two of the world's leading centres for machine learning research. We have launched a new and exciting initiative whereby a small group of select PhD candidates will be jointly supervised at both institutions. The principal supervisors will be Zoubin Ghahramani at Cambridge and Bernhard Schoelkopf at the Max Planck Institute, with potential for co-supervision by other members of the research groups (e.g. Carl Rasmussen and Richard Turner at Cambridge, as well as several group leaders in Tübingen).
This is a unique programme and we expect admission to be highly competitive. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk and http://ei.is.tuebingen.mpg.de.
The overall duration of the PhD will be four years, with roughly three years spent at one location, and one year spent at the other location, including initial coursework at the University of Cambridge. Successful PhDs will be officially granted by the University of Cambridge.
We plan to offer funding for two to four PhD Fellowships covering university tuition fees (at Cambridge EU rates) and a stipend of approximately 17000 euros (about 14500 GBP) per year. We acknowledge financial support from Facebook and Amazon.
This is a unique programme and we expect admission to be highly competitive. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk and http://ei.is.tuebingen.mpg.de.
The overall duration of the PhD will be four years, with roughly three years spent at one location, and one year spent at the other location, including initial coursework at the University of Cambridge. Successful PhDs will be officially granted by the University of Cambridge.
We plan to offer funding for two to four PhD Fellowships covering university tuition fees (at Cambridge EU rates) and a stipend of approximately 17000 euros (about 14500 GBP) per year. We acknowledge financial support from Facebook and Amazon.
Applicants must formally apply through the University of Cambridge, indicating the Department of Engineering as the host Department (supervisor Prof Ghahramani) see http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/deadlines.html for details. In addition to the material required for the University of Cambridge application, please also arrange for a CV, a short mission statement, scanned transcripts and 2-3 reference letters to be sent directly to Julia.Braun@tue.mpg.de. Please use the subject line "Cambridge-Tuebingen PhD fellowship". The deadline for applications is December 2nd, 2014.
Interviews will take place in Tübingen on January 7-8, 2015.
Administrative questions should be sent to Julia.Braun@tue.mpg.de and any questions regarding academic suitability should go to Matt Hoffman (mwh30@cam.ac.uk).
We look forward to receiving your applications.
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