Supervision

Students on the CDT programme will undertake two 10-week exploratory projects usually with different supervisors before selecting their substantive DPhil project.  The main supervisor for the DPhil project is expected to be a member of our Supervision Pool. Students are encouraged to include additional co-supervisors from EIT. Additional co-supervision may also be arranged with Oxford academics beyond the supervisor pool. 

During your first year, you will have a supervisor from the academic leadership of the CDT. Regular meetings serve to monitor academic progress as well as to discuss any academic issues or questions arising. After the first year, you will transition into the home department of your primary supervisor to commence you research project, though you may also have a co-supervisor in the same (or another) department. First-year supervisors will act as mentors throughout the programme, providing academic and pastoral guidance.

You will be expected to meet your supervisor on a regular basis. Typically, these meetings should take place at least once every two weeks, averaged across the year, to discuss your progress. The allocation of graduate supervision for this course is the responsibility of the EIT CDT in Fundamentals in AI and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the CDT.

Our current supervisor pool is listed below. We will be updating the list to reflect emerging application domains at EIT.

Supervisor Pool

Alessandro Abate

Professor of Verification and Control

Wes Armour

Professor of Scientific Computing

Michael Benedikt

Professor of Computing Science

Sara Bernardini

Professor of Computer Science

Michael Bronstein

DeepMind Professor of Artificial Intelligence 

Mark Cannon

Associate Professor

François Caron

Professor of Statistics

Coralia Cartis

Professor of Numerical Optimization

Ronald Clark

Associate Professor

David Clifton

Royal Academy of Engineering Chair of Clinical Machine Learning

Christian Coester

Associate Professor

Samuel Cohen

Professor of Mathematics

Rama Cont

Statutory Professor of Mathematics

Charlotte Deane

Professor of Structural Bioinformatics

Giuseppe De Giacomo

Professor of Computer Science

Xiaowen Dong

Associate Professor of Engineering Science

Robin Evans

Professor of Statistical Science

Seth Flaxman

Associate Professor

Jakob Foerster

Associate Professor

Yarin Gal

Associate Professor of Machine Learning

Bernardo Cuenca Grau

Professor of Computer Science

Nick Hawes

Professor of AI and Robotics

Chris Holmes

Professor of Biostatistics

Varun Kanade

Associate Professor

Sandra Kiefer

Associate Professor

Marta Kwiatkowska

Professor of Computing Systems

Renaud Lambiotte

Professor of Networks and Nonlinear Systems

Ard Louis

Professor of Theoretical Physics

Alison Noble

Technikos Professor of Biomedical Engineering

Jan Obloj

Professor of Mathematics

Maike Osborne

Professor of Engineering Science

Bartek Papiez

Associate Professor, Medical Image Analysis and Machine Learning

David Parker

Professor of Computer Science

Ingmar Posner

Professor of Engineering Science (Applied Artificial Intelligence)

Tom Rainforth

Associate Professor of Statistical Machine Learning

Patrick Rebeschini

Professor of Statistics and Machine Learning

Gesine Reinert

Professor of Statistics

Christoph Reisinger

Professor of Applied Mathematics

Stephen Roberts

Professor of Machine Learning

Christian Rupprecht

Associate Professor

Rahul Santhanam

Professor of Computing Science

Justin Sirignano

Professor of Mathematics

Jared Tanner

Professor of the Mathematics of Information

Yee Whye Teh

Professor of Statistics

Philip Torr

Five AI/Royal Academy of Engineering Research Chair in Computer Vision and Machine Learning

Mark van der Wilk

Associate Professor

Andrea Vedaldi

Professor of Computer Vision and Machine Learning

Shimon Whiteson

Professor of Computer Science

Michael Wooldridge

Professor of Computer Science

Christopher Yau

Professor of Artificial Intelligence

Andrew Zisserman

Professor of Computer Vision Engineering