PhD Studentship in Understanding Audio-visual Interactions through Multi-view Mapping

Queen Mary University of London - School of Electronic Engineering and Computer Science

The Centre for Intelligent Sensing at Queen Mary University of London invites applications for a PhD Studentship to undertake research in the area of deep learning for scene understanding from moving and heterogeneous audio-visual sensors (e.g. body cameras). The PhD project will focus on audio and video re-identification from multiple heterogeneous devices, on recognizing actions and spotting audio-visual keywords.

All nationalities are eligible to apply for this studentship, to be ideally started in or after June 2018. The studentship is for up to four years, and covers student fees as well as a tax-free stipend.

This PhD project is part of an interdisciplinary collaboration between the Centre for Intelligent Sensing (http://cis.eecs.qmul.ac.uk) at Queen Mary University of London (QMUL) and the Centre for Information Technology (http://ict.fbk.eu) at the Fondazione Bruno Kessler (FBK), Trento, Italy. The PhD student will spend approximatively half of their time in London and half of their PhD time in Trento and will have access to state-of-the-art laboratories, including aerial and ground robotic sensors, and multi-camera and multi-microphone installations. The PhD student will be based at Centre for Intelligent Sensing in the School of Electronic Engineering and Computer Science at Queen Mary, University of London and will be supervised by Professor Andrea Cavallaro and Dr Alessio Brutti.

Candidates should have a first-class honours degree or equivalent, or a good MSc Degree, in Computer Science, Physics, Mathematics or Electronic Engineering. Candidates must be confident in applied mathematics, and should have good programming experience, in particular C/C++, Python and MATLAB environment. Previous knowledge of Signal Processing or Deep Learning/Machine Learning is required.

To apply please follow the on-line process at http://www.qmul.ac.uk/postgraduate/research/subjects/ by selecting Electronic Engineering or Computer Science in the A-Z list of research opportunities and following 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 of Research Interest should answer two questions: Why are you interested in the proposed area? What is your experience in the proposed area? In addition we would also like you to send a sample of your written work. This might be a chapter of your final year dissertation, or a published conference or journal paper.

For more information and to apply, please visit: http://www.eecs.qmul.ac.uk/phd/apply.php

Informal enquiries can be made by email to Professor Andrea Cavallaro (a.cavallaro@qmul.ac.uk).

The closing date for the applications is 31 January 2018.

Interviews are expected to take place during the week commencing 12 February 2018.

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Type / Role:

PhD

Location(s):

London