Connectionists: Cambridge-Tuebingen PhD Fellowships in Machine Learning (Deadline: 3 Nov)

[Julius von Kügelgen]

Cambridge-Tuebingen PhD Fellowships in Machine Learning (Deadline: 3 Nov)

Applications are open for an outstanding European machine learning PhD
program jointly supervised between the University of Cambridge and Max
Planck Institute for Intelligent Systems in Tübingen. The deadline for
applications is November 3rd 2019. For full details, see:

https://www.is.mpg.de/jobs/cambridge-tubingen-phd-fellowships-in-machine-learning

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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, Carl
Rasmussen, Neil Lawrence, Richard Turner, Jose Miguel Hernandez-Lobato and
Adrian Weller at Cambridge University, and Bernhard Schoelkopf and other
research group leaders at the Max Planck Institute 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.
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