Dear all,
A funded PhD place in machine listening / computer audition is
available at the School of Electronic Engineering and Computer
Science, Queen Mary University of London.
Full details below, or at
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=98854 .
Best,
Emmanouil Benetos
Funded PhD studentship in Machine Listening at the School of
Electronic Engineering and Computer Science, Queen Mary University
of London
Applications are invited from all nationalities for a funded PhD
Studentship starting Autumn 2018 in machine listening / computer
audition, to conduct research in the area of computational sound
scene analysis.
RESEARCH PROJECT: This research will investigate and prototype tools
for sound event detection and audio context recognition from
everyday sound scenes. This PhD position is linked with the
EPSRC-funded project "Integrating sound and context recognition for
acoustic scene analysis" on developing technologies for
context-aware sound recognition. The successful candidate will
investigate, propose and develop machine learning and digital signal
processing methods for sound recognition, suitable for complex and
time-varying acoustic environments.
SKILLS: Candidates must have a first-class honours degree or
equivalent, and/or a good MSc Degree in Computer Science, Electronic
Engineering, Audio/Music Technology, Acoustics, or a related
discipline. Candidates should have good programming experience in
Python, Matlab, C/C++ or similar. Knowledge of machine learning
and/or digital signal processing is desirable. Experience in
research and a track record of publications is advantageous. There
is scope to tailor the research to the interests and skills of the
successful candidate.
SUPERVISION: This project is based in the Centre for Digital Music
(C4DM) and Centre for Intelligent Sensing (CIS) of Queen Mary
University of London. C4DM is a world-leading multidisciplinary
research group in the field of Digital Music & Audio Technology;
CIS has highly reputed research expertise in multi-sensor data
processing, distributed signal processing, vision and audio
analysis. Both groups are part of the School of Electronic
Engineering and Computer Science (EECS). Details about the School
can be found at
http://www.eecs.qmul.ac.uk; details about C4DM at
http://c4dm.eecs.qmul.ac.uk; and details about CIS at
http://cis.eecs.qmul.ac.uk/ .
FUNDING: The studentship is for 3 years, and covers student fees as
well as a tax-free stipend of 16,777 GBP per annum.
To apply, please follow the on-line process at
(
https://www.qmul.ac.uk/postgraduate/research/subjects/); click on
the list of Research Degree Subjects, select ‘Electronic
Engineering’ in the ‘A-Z list of research opportunities’, and follow
the instructions on the right-hand side of the web page.
Please note that instead of the ‘Research Proposal’ we request a
Statement of Research Interests’. Your statement should answer two
questions: (i) Why are you interested in the topic described above?
(ii) What relevant experience do you have? Your statement should be
brief: no more than 500 words or one side of A4 paper. In addition
we would also like you to send a sample of your written work (e.g.
excerpt of final year dissertation or published academic paper).
More details can be found at:
http://www.eecs.qmul.ac.uk/phd/how-to-apply . Informal enquiries
about the studentship can be made by email to Dr Emmanouil Benetos
(
emmanoui...@qmul.ac.uk).
The closing date for the applications is 6 July 2018; interviews are
expected to take place in mid-July 2018.
--
Dr Emmanouil Benetos
School of Electronic Engineering and Computer Science
Queen Mary University of London
Tel: +44 (0)20 7882 3066
e-mail: emmanoui...@qmul.ac.uk
http://www.eecs.qmul.ac.uk/~emmanouilb/