Department: School of Electronic Engineering & Computer Science
Salary: £32,956 - £36,677 per annum (Grade 4)
Location: Mile End
Date posted: 05-Feb-2018
Closing date: 07-Mar-2018
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 http://cis.eecs.qmul.ac.uk/.
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 (firstname.lastname@example.org) or by phone: +44 20 7882 3066.
To apply, please click on the link below.
Candidates are politely requested to upload documents totaling no more than 10 pages.
Please note large documents e.g. PhD thesis/Research papers are not forwarded to the interview panel.
The closing date for applications is 7 March 2018. Interviews are expected to be held shortly thereafter.
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