Cambridge – Tübingen PhD Fellowships in Machine Learning

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. 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 and Richard Turner 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 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 generous financial support from Microsoft, Facebook and Amazon.

Applications and administrative questions should be sent to Julia.Braun@tue.mpg.de. Applications should include CV, a short mission statement and scanned transcripts. Please arrange for 2-3 reference letters to be sent directly to Julia.Braun@tue.mpg.de.

Any questions regarding academic suitability should go to Jes Frellsen <jf519@cam.ac.uk>. Please use the subject line “Cambridge-Tuebingen PhD fellowship.” Applicants must also formally apply through the GRADSAF system at the University of Cambridge by the same deadline, indicating “PhD in Engineering” as the course (supervisor Ghahramani, Rasmussen, and/or Turner). Applicants should also make sure that they apply for Cambridge Trusts and Gates Cambridge funding by ticking the relevant box in the application form. See http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/deadlines.html for details. The hard deadline for formal applications is November 16, 2015.

Interviews will take place in Tübingen on January 18-19, 2016.

We look forward to receiving your applications.

Zoubin Ghahramani                Bernhard Schölkopf

University of Cambridge         Max Planck Institute for Intelligent Systems