Connectionists: Cambridge - Tuebingen PhD Fellowships in Machine Learning

[Julius von Kügelgen]

*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 Carl Rasmussen, Neil Lawrence,
Ferenc Huszar, Jose Miguel Hernandez-Lobato, David Krueger, Adrian Weller
and Rika Antonova at Cambridge University, and Bernhard Schölkopf and other
research group leaders at the Max Planck Institute in Tübingen. This
program is specific for candidates whose research interests are
well-matched to both the principal supervisors in Cambridge and the MPI for
Intelligent Systems in Tuebingen.



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, https://mlatcl.github.io 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.



Applications to the Cambridge – Tübingen PhD Fellowships should be made by
first applying to the Cambridge PhD programme in Advanced Machine Learning
as described here:
https://mlg.eng.cam.ac.uk/phd_programme_in_advanced_machine_learning/



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.



Applicants from Europe don’t need an employment visa, for those who apply
from non-EU countries it is necessary to inform themselves at the embassy
of their country about visa procedures.



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 camtue at is.mpg.de. It is important to download the application
before submitting it through the academic portal because the application is
no longer available once it is submitted. Please use the subject line
“Cambridge-Tuebingen PhD fellowship” in your email to camtue at is.mpg.de.
Please arrange for a CV, a motivation letter, BSc. and MSc. transcripts,
and two reference letters of your application to the Cambridge PhD
programme in Advanced Machine Learning to be sent also to camtue at is.mpg.de.



The hard deadline for formal applications is noon December 5, 2023



Interviews will take place in January 2024.



The University of Cambridge is committed in its pursuit of academic
excellence to equality of opportunity and to a proactive and inclusive
approach to equality, which supports and encourages all under-represented
groups, promotes an inclusive culture, and values diversity.



The Max-Planck Society is committed to increasing the number of individuals
with disabilities in its workforce and therefore encourages applications
from such qualified individuals. Furthermore, the Max Planck Society seeks
to increase the number of women in those areas where they are
underrepresented and therefore explicitly encourages women to apply.



We look forward to receiving your applications.



Carl Rasmussen                     Bernhard Schölkopf

University of Cambridge         Max Planck Institute for Intelligent Systems
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