Connectionists: Unsupervised deep learning post-doc at Gatsby

[Aapo Hyvarinen]

Research Associate Position (Training Fellowship - Machine Learning)
on unsupervised deep learning, supervised by Aapo Hyvärinen

The Gatsby Computational Neuroscience Unit (UCL, UK) invites 
applications for a training fellowship in machine learning.

The Gatsby Unit has significant interests across a range of areas in 
machine learning, including unsupervised learning, reinforcement 
learning, Bayesian statistical theory, nonparametric methods, kernel 
methods, optimization, and applications to neuroscience, linguistics, 
vision and bioinformatics. We actively apply these methods to problems 
in both theoretical and data-driven neuroscience.  Machine learning 
research at the Gatsby Unit is led by Arthur Gretton, Aapo Hyvärinen and 
Maneesh Sahani. For further details of our research please see: 
http://www.gatsby.ucl.ac.uk/research.html

This fellowship in particular is supervised by Aapo Hyvärinen, and 
continues our cutting-edge research on unsupervised deep learning, 
nonlinear independent component analysis and related methods. See e.g. 
http://www.gatsby.ucl.ac.uk/~aapoh/papers/NIPS16.pdf

The Gatsby Unit is a world-class Centre for theoretical neuroscience and 
machine learning providing a unique environment in which a critical mass 
of researchers interact closely with each other and with other 
world-class research groups in related departments at UCL. A 
cross-faculty Centre for Computational Statistics and Machine Learning 
opened at UCL in 2006, spanning the departments of Computer Science, 
Statistical Science and the Gatsby Unit. The Alan Turing Institute, a 
national data science institute of which UCL is a founding partner, is 
located next to the UCL campus: this will enable joint research with 
faculty from UCL and the Universities of Cambridge, Oxford, Warwick, and 
Edinburgh.

Candidates are required to demonstrate a very strong analytical 
background in machine learning, statistics, computer science, physics or 
engineering. Candidates must have a PhD in a relevant subject area by 
the agreed start date of the position, and a publication record in 
highly ranked conferences and journals.

Training fellowships are funded by the Gatsby Charitable Foundation and 
are part of a continuing programme of training postdoctoral researchers 
in the computational neuroscience / machine learning discipline. The 
position is available for an initial period of between one and two 
years. Funding is specifically for the purpose of training a succession 
of researchers.  To ensure the intellectual renewal of the unit, 
training fellows are not funded beyond a maximum three year period.

Applications must be made online via the UCL job vacancies website: 
http://www.ucl.ac.uk/hr/jobs/. (The web site may not show this vacancy 
yet, but should do so soon.) Please be sure to attach to your online 
application a copy of your CV, statement of research interests, and full 
contact details (including e-mail addresses) for three academic 
referees.  CVs should include: education history, details of current or 
most recent position and details of previous employment or fellowships.  
Incomplete applications will not be reviewed by the selection committee.

The closing date for applications is 4th January, 2017.

If you're attending NIPS in Barcelona, you can meet me there.

Aapo Hyvärinen