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Wenwu Wang

5 months ago

Research Fellow positions in Machine Learning and Perceptual Evaluations for Spatial Music University of Surrey in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Research Fellow positions funded by a leading industry partner. One post is for 12 months and the other for 8 months. The post-holder will have access to substantial compute resources at CVSSP and Surrey Institute of People Centred AI. No stipend or salary amount is stated in the post.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Surrey

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Keywords

Computer Science
Machine Learning
Psychology
Signal Processing
Electrical Engineering
Artificial Intelligence
Psychoacoustics
Music
Auditory Perception
Statistics
Spatial Audio

About this position

Applications are invited for two Research Fellow positions at the Centre for Vision Speech and Signal Processing (CVSSP) and the Surrey Institute of People Centred AI, University of Surrey, UK. The projects are focused on spatial music, machine learning, AI, signal processing, audio perception, and data curation.

Position 1: Research Fellow on Machine Learning for Perceptual Quality Prediction of Spatial Music (12 months). This role develops machine learning and AI models and signal processing algorithms for perceptual quality prediction and rating of songs reproduced using 3D rendering algorithms.

Position 2: Research Fellow on Perceptual Evaluations and Data Curation for Spatial Music (8 months). This role involves organising and performing listening tests, recording listening scores, performing statistical analysis of listening test data, and organising data files.

The posts are based in CVSSP and will work under the direction of Prof Wenwu Wang in collaboration with an industrial partner. CVSSP is described as an international centre of excellence for research in audio-visual machine perception and AI, with extensive audio/video capture and analysis facilities and large GPU compute resources.

Eligibility highlights: applicants should hold a PhD degree (or equivalent). For the machine learning role, relevant backgrounds include machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, electronic engineering, computer science, applied mathematics, or statistics. For the perceptual evaluation role, relevant backgrounds include electronic engineering, computer science, psychology of hearing, or related fields. Experience in machine learning/AI, spatial audio, listening tests, data curation, psychoacoustics, or music audio is preferred. Strong analytical and programming skills in Python, Matlab, or C/C++ are expected for the first role; dataset management and curation skills are expected for the second.

Funding: both positions are funded by a leading industry partner. No salary amount is stated in the post.

How to apply: apply online through the University of Surrey vacancy page with a CV and cover letter. Informal enquiries can be sent to Prof Wenwu Wang at [email protected] or via his personal academic page.

Funding details

Research Fellow positions funded by a leading industry partner. One post is for 12 months and the other for 8 months. The post-holder will have access to substantial compute resources at CVSSP and Surrey Institute of People Centred AI. No stipend or salary amount is stated in the post.

What's required

Applicants should have a PhD degree (or equivalent) in machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, electronic engineering, computer science, applied mathematics, statistics, psychology of hearing, or a related field. Strong analytical and programming skills in Python, Matlab or C/C++ are expected. Preference is given to candidates with experience in machine learning/AI, spatial audio, listening tests, data curation, audio perception, psychoacoustics, or music audio.

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Professors

Professor of Signal Processing and Machine Learning

University Name
Country flag

United Kingdom

Research Interests

Phonetics

Music

Auditory Perception

Spatial Audio

Speech Recognition