Postdoctoral Research Assistant in Computational Sound Scene Analysis
Queen Mary University of London, UK
Salary: GBP 32,956 to GBP 36,677 per annum
Closing Date: 07 March 2018 (23:59 GMT)
Description: The school of Electronic Engineering and Computer Science
at Queen Mary University of London (QMUL) has a vacancy for a
Post-Doctoral Research Assistant (PDRA) on computational sound scene
analysis, as part of the EPSRC-funded project "Integrating sound and
context recognition for acoustic scene analysis".
The responsibilities of the role are to investigate, develop and
evaluate novel digital signal processing and machine learning
technologies for context-aware sound recognition, applied to continuous
audio streams in urban, nature and domestic environments. The work will
include integrating audio-based context recognition with sound
recognition methods, developing a research software framework and
creating real and simulated datasets for context-aware sound recognition
in complex acoustic environments.
The ideal candidate will have a PhD in Computer Science,
Electrical/Electronic Engineering or in a relevant field, with research
experience in one or more of the following areas: Digital Signal
Processing, Machine Learning, Audio/Acoustics, Music Information
Retrieval or equivalent. The candidate will have a strong research track
record with publications in high-quality journals and conference
proceedings. Research experience in audio signal processing and/or
computational sound scene analysis is desirable. The successful
candidate will have programming proficiency in one or more of: Python,
Matlab, C/C++, and will have demonstrated the ability to work
collaboratively and independently.
This post 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
This is a full time post for 14 months starting 1 April 2018 or as soon
as feasible after this date. The starting salary will be in the range of
£32,956 - £36,677 per annum inclusive of London allowance. Benefits
include 30 days annual leave, defined benefit pension scheme and
interest-free season ticket loan.
Candidates must be able to demonstrate their eligibility to work in the
UK in accordance with the Immigration, Asylum and Nationality Act 2006.
Where required this may include entry clearance or continued leave to
remain under the Points Based Immigration Scheme.
Informal enquiries should be addressed to Dr Emmanouil Benetos
(emmanouil.bene...@qmul.ac.uk) or by phone: +44 20 7882 3066.
For more information and to apply online, please visit:
The closing date for applications is 7 March 2018. Interviews are
expected to be held shortly thereafter.
Dr Emmanouil Benetos
RAEng Research Fellow, Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Tel: +44 (0)20 7882 3066
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