PhD Studentship in audio-visual signal processing and machine learning

Applications are invited for a full PhD Scholarship supported by the School of Electronic Engineering and Computer Science (www.eecs.qmul.ac.uk), Queen Mary University of London, UK. Interviews are expected to take place in middle August 2019. The PhD project will start in October 2019.

The project aims to develop novel algorithms that combine audio signal processing, computer vison, and deep learning techniques to improve robot autonomy when interacting with human in real-life environments.

The PhD will be based in the QMUL Centre for Intelligent Sensing (CIS) (http://cis.eecs.qmul.ac.uk/) with strong publication record and high international impact. The project will be supervised by Dr. Lin Wang (http://www.eecs.qmul.ac.uk/~linwang/).
Qualifications:
Candidates must have a university degree and master degree in a relevant field, in Electronic Engineering or Computer Science (or a related discipline). Applicants must have a good knowledge of English and ability to express themselves clearly in both written and spoken form. The successful candidate must be strongly motivated to undertake doctoral studies, must have demonstrated the ability to work independently and to perform critical analysis.

Applicants are expected to possess fundamental knowledge and skills in two or more of the following aspects:
• Strong background in audio and acoustic signal processing (e.g. microphone array)
• Prior experience of working with hardware e.g. DSP, Jetson board, MEMS microphones
• Prior experience in visual signal processing or machine learning
• Excellent programming skills in Python, Matlab and/or C++
• Good in mathematic skills such as matrix computation and optimization

All nationalities are eligible to apply for this studentship. We offer a 3-year fully funded PhD studentship supported by Queen Mary University of London including student fees and a tax-free stipend starting at £16,777 per annum. In addition to the studentship, we also welcome applications from self-funded students with relevant backgrounds.
Application:
To apply, please follow the online instructions specified by the college website for research degree: http://www.qmul.ac.uk/postgraduate/research/subjects/. At this page, please click on ‘Electronic Engineering’ in the subject list and follow the instructions on the new page. Please note that instead of the ‘Research Proposal’ we request a ‘Statement of Research Interests’. Your statement (no more than 500 words) should answer two questions:
(i) Why are you interested in the topic described above?
(ii) What relevant experience do you have?
In addition to this, 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.

In order to submit your online application you will need to visit the following webpage: https://www.qmul.ac.uk/postgraduate/research/subjects/electronic-engineering.html. Please scroll down the page and click on “PhD Full-time Electronic Engineering - Semester 1 (October Start)”.

Applicants seeking further information or feedback on their suitability are encouraged to contact Dr. Lin Wang (lin.wang AT qmul.ac.uk). All applications must be made via the website mentioned above.

The closing date for the applications is 31 July, 2019.
Starting date: October 2019 (dates can be flexible).