Chris Williams' Information for Prospective Students

PhD Students

I expect to take on about one to two PhD students per year. See my research interests page for information. I am also potentially interested in supervising good students who propose their own topics, as long as these generally fit under the area of probabilistic machine learning.

To work in my group the ideal preparation would be

As a general policy, I encourage potential PhD students to first study for an MSc degree, as this allows them to gain the necessary background before embarking on research. If you do not have the background mentioned above a good way to obtain it is through the MSc programme in the School of Informatics, and in particular the Machine Learning specialism. Normally admission to this specialism will require a good degree in a numerate discipline.

Informal enquiries about PhDs may be made to me via email (see my contact information page). When doing this please provide

Please use .pdf or .txt formats, not .doc. Further information is available from the School of Informatics Postgraduate Prospectus, including information on how to make a formal application.

MSc Students

You can find information about the MSc programme in the School of Informatics, and in particular the Machine Learning specialism by following these links. Normally admission to the Machine Learning specialism will require a good degree in a numerate discipline. The application procedure is described here. There is also a new MSc in Data Science which has similar entrance requirements.

Internships

The School of Informatics (SoI) does not run an internship program. Please do not email me with requests for internships -- these will simply be ignored.
Chris Williams
Last modified: 9 Nov 2017