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Job 18bed791f3161ddc

PhDApplications Closed

Carl Rasmussen, Bernhard Schölkopf

Unknown Organization
University of Cambridge, Max Planck Institute for Intelligent Systems
Apply by Dec 5, 2024

Application deadline

Dec 5, 2024

Job location

Job location

Carl Rasmussen, Bernhard Schölkopf

Geocoding

University of Cambridge, Max Planck Institute for Intelligent Systems

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Quick Information

Application Deadline

Dec 5, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

Carl Rasmussen, Bernhard Schölkopf

Geocoding

University of Cambridge, Max Planck Institute for Intelligent Systems

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

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. 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.

Requirements

  • 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. 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. 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@is.mpg.de.

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