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Fully funded phd position in machine learning theory
I have multiple, fully-funded PhD and MSc positions available in the University of Victoria’s Department of Computer Science, for September 2020.
Some core focus areas include:
(a) online learning / sequential prediction, including adaptive algorithms for lifelong learning;
(b) the theory of representation learning and deep learning;
(c) fairness in machine learning.
That said, successful candidates will have freedom to explore other theoretically-motivated research topics within machine learning.
An ideal candidate at the PhD level has a Master’s degree specializing in Machine Learning, Computer Science, or Statistics. Related, mathematically-oriented degrees such as e.g. Electrical Engineering, Mathematics, Physics also will be viewed favorably. Some previous exposure to machine learning is essential.
An ideal candidate at the Master’s level has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related mathematically-oriented areas, with some undergraduate research experience in machine learning.
** Interested Applicants**
If you are interested in doing a PhD or MSc with me in theoretical machine learning, please email me with a brief introduction, including your research interests and academic background. In addition, the application form can be found here:
https://www.uvic.ca/engineering/computerscience/graduate/applying/index.php
The deadline to apply is December 15th. Please indicate in your application that you would like to work with me, and describe in your application your research interests within (theoretical) machine learning.
** Contact Information **
Nishant Mehta
nmehta@uvic.ca
http://web.uvic.ca/~nmehta
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Fully funded phd position in machine learning theory
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