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[Bioacoustic-monitoring] PhD Studentships - Alan Turing Institute & QMUL

To: Machine Listening <>, "" <>, rss-csml <>, "" <>
Subject: [Bioacoustic-monitoring] PhD Studentships - Alan Turing Institute & QMUL - Machine Listening
From: Dan Stowell <>
Date: Thu, 8 Nov 2018 14:46:49 +0000
[With apologies for cross-postings]

The Machine Listening Lab ( at
Queen Mary University of London (QMUL) would like to invite applicants
for PhD positions to be held jointly between the Alan Turing Institute
( and QMUL. Three PhD students across QMUL
will be sponsored by this scheme, which provides 3.5-year studentships
that come with an increased annual stipend of £20,500 plus a travel
allowance and tuition fees. Doctoral students will split their time
between QMUL and the Institute headquarters at the British Library in
London. Students will be supervised by Turing fellows from QMUL and will
work in collaboration with research teams at the Turing Institute.

The Machine Listening Lab is inviting applications for Turing-QMUL PhD
projects in the following research topics:

* Privacy-preserving urban/domestic sound monitoring

* Automatic recognition of acoustic environments in sound archives

* High-resolution machine listening for wildlife sounds

Please note that the Turing-QMUL PhD funding is across many subject
areas and your application will be considered alongside applications
from other disciplines. More information for the Turing-QMUL PhD
positions is available at:

Candidates who are interested in carrying out research hosted by the
Machine Listening Lab should apply directly to the School of Electronic
Engineering and Computer Science of Queen Mary University of London at:

The deadline for submission is *midday Monday 14 January 2019*. In your
application, and when choosing a supervisor, applicants should make it
clear that they would like to be considered for the Turing doctoral
studentship. Queen Mary will complete an initial assessment of your
application and will refer selected candidates to the Institute in early
February 2019. If successful, you will then be invited to attend a
further interview at The Alan Turing Institute.

For informal queries before application, or to discuss topics, please
email Dan Stowell <> and Emmanouil Benetos

Dan Stowell
Senior Researcher
Machine Listening Lab
Centre for Digital Music
Queen Mary, University of London
Mile End Road, London E1 4NS
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