Connectionists: PhD position in Deep Learning/Representation Learning, University of Guelph

[Graham Taylor]

I have a fully-funded PhD position open in Deep Learning and Representation
Learning to start no later than January 2015. The position is partially
funded by industry, so the project will involve some time on campus at the
University of Guelph and some time at a startup in downtown Toronto
(scheduling is flexible). The project involves developing new
representation learning methods for unstructured, event-based time series.

Ideal candidates will have a MSc or equivalent degree in Computer Science,
Physics, Mathematics, or in a related area, and have a strong interest and
experience in machine learning, statistics and/or scientific computing.

Guelph is a vibrant university community 28 kilometres east of Waterloo and
100 kilometres west of downtown Toronto, with commuter train access to
both. It is consistently rated as one of Canada's best places to live.

The position is open to Canadian and foreign students. To apply, please
send the following documents in a single pdf-file to my attention (email
address available on my webpage).

(1) Your Curriculum Vitae
(2) A brief statement of relevant research interests and/or experience
(preferably one page, at most two)
(3) Transcripts for previous degrees if available
(4) Names of two or three referees who are able to comment on the
applicant's qualifications. I will contact references of short-listed
candidates only.

Only short-listed candidates will be contacted.

-- 
Graham Taylor
Assistant Professor
School of Engineering, University of Guelph
http://www.uoguelph.ca/~gwtaylor
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