Cambridge – Tübingen PhD Fellowship in Machine Learning in UK and Germany, 2014

"Cambridge – Tübingen PhD Fellowship in Machine Learning"

"Cambridge – Tübingen PhD Fellowship 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 centers for machine learning research. We are launching 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.

Study Subject:

Fellowship is awarded for doing basic research in machine learning and its scientific applications.


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.

Duration of Scholarship:

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.

Scholarship Value:

Up to four PhD Fellowships covering university tuition fees (at Cambridge EU rates) and a stipend of approximately 17000 euros (about 14500 GBP) per year will be awarded.

Selection Criteria:

Successful applicants tend to be among the very top students at their institution, have very strong mathematics backgrounds and have some research experience in statistical machine learning. Other factors that play a role are reference letters, and exam marks (e.g. GRE).


Interviews will take place in Cambridge or Tübingen in late January or February.

How to Apply?

Applications and questions about suitability should be sent (with a CV attached) to Please use the subject line “Cambridge-Tuebingen PhD fellowship” and indicate at which of the two locations (Tübingen or Cambridge) you would like to spend the major part (three years) of the four-year program. Applicants must also formally apply through the University of Cambridge, indicating the Department of Engineering as the host Department (supervisor Prof Ghahramani).

Application Deadline: December 3, 2013.

For further information: Cambridge – Tübingen PhD Fellowship in Machine Learning

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