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. In 2014, we launched a new and exciting initiative whereby a small group of select PhD candidates are jointly supervised at both institutions. The principal supervisors are 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, Richard Turner and Miguel Hernandez-Lobato at Cambridge, as well as several group leaders in Tübingen).
This is a unique programme, and admission in the last years was 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 up to two PhD Fellowships covering university tuition fees and a stipend for living expenses. We acknowledge generous financial support from Microsoft, Facebook and Amazon.
Applications and administrative questions should be sent to firstname.lastname@example.org.
Applications to the Cambridge – Tübingen PhD Fellowships should be made by first applying to the Cambridge PhD programme in Advanced Machine Learning. Once you have completed the application to the Cambridge PhD Programme, and before actually submitting it, you should download the application and send a copy to email@example.com. It is important to download the application before its submission to the GRADSAF system at the University of Cambridge because the application is no longer available once it is submitted. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email.
Furthermore, applications for Tübingen should include a CV, a short mission statement and scanned transcripts.
Please arrange for 2-3 reference letters to be sent directly to firstname.lastname@example.org
Any questions regarding academic suitability should go to Miguel Hernandez-Lobato. Please use the subject line "Cambridge-Tuebingen PhD fellowship".
Applicants must formally apply through the University of Cambridge webpage), indicating the Department of Engineering as the host department (course: “PhD in Engineering (probationary)”, supervisors: Zoubin Ghahramani, Carl Rasmussen, Richard Turner, Miguel Hernandez-Lobato).
Applicants should also make sure that they apply for “Cambridge Trusts”, “Gates Cambridge”, and “Other Research Councils” funding by ticking the relevant boxes in the application form
(see http://www.graduate.study.cam.ac.uk/application-funding-deadlines for details).
The dates are:
- formal application deadline: November 12, 2017
- Interviews: January 15-17, 2018 in Tübingen
We look forward to receiving your applications.
University of Cambridge
Max Planck Institute for Intelligent Systems