Connectionists: Postdoc position: Deep Learning applied to Compressing Audio Signals

[David Balduzzi]

*Postdoc position: Deep Learning applied to Compressing Audio Signals*

Applications are invited for a position as a postdoctoral researcher working
with Prof Bastiaan Kleijn and Dr David Balduzzi at Victoria University
Wellington. The project, funded by Google, is to develop new multi-channel
audio encoding methods using deep learning (specifically, recurrent neural
networks) in collaboration with researchers at UC Santa Barbara. The
position is for one year, potentially renewable.

Victoria University is located in Wellington, a compact, cosmopolitan city
of 400,000 people. The campus is a short walk from downtown and the
waterfront.

QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science,
Electrical Engineering or related fields.  Experience in machine learning
and/or signal processing along
with a strong research track record  is essential. For further information
please contact Bastiaan Kleijn at bastiaan.kleijn at ecs.vuw.ac.nz (
http://ecs.victoria.ac.nz/Main/BastiaanKleijn) or David Balduzzi at
david.balduzzi at vuw.ac.nz <http://igi.tugraz.at/> (
https://sites.google.com/site/dbalduzzi/).

TO APPLY: Applications should include
- a curriculum vitae with list of publications
- names and email addresses of two references
- a short (1-2 page) summary of past research and relevant qualifications
- a personal Web page, if available

The position is to start as early as December 2016 or at an agreed later
date. Applications will be reviewed when they are received.
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