[AUDITORY] Research positions (audio/AI, 6-month contracts); Queen Mary University of London

[Iran Roman <iran@xxxxxxxxxxxxxxxxxx>]

Hi all,

Two Research Assistant positions are open in my group at Queen Mary University of London (QMUL). Both are 6-month contracts (part time or full time), starting as soon as possible, at QMUL Grade 4.25 or higher depending on experience. You must have the right to work in the UK. Please apply to ONE position only.

To apply: email i.roman@xxxxxxxxxx including a short note on your interest and fit, plus a 1-page CV. That's it (feel free to email me first if you have questions).

Applications will be reviewed on a rolling basis until the posts are filled.


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1. ACOUSTIC IMAGING & EDGE DEPLOYMENT

We have self-supervised models that reconstruct high-resolution acoustic spatial images from sparse microphone arrays, able to run in real time. The work now is deploying them onto constrained, wearable hardware and validating that they hold up in real-world, noisy conditions.

Skills required: acoustics, multichannel array processing, embedded systems deployment.
Deliverable: a working real-time system.

The successful candidate will work directly with the project's industry partner, an undisclosed multinational company at the forefront of artificial intelligence and immersive technologies.


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2. MULTIMODAL MACHINE PERCEPTION & GENERATIVE AI

The core bottleneck in spatial computing is real-world multimodal data. Existing datasets are either spatially blurred, too narrow in scope, or synthetic. We're capturing our own: 360° video, 64-channel full-sphere audio, egocentric perspective with head-tracked signals, and sub-millimetre source tracking, across real kitchens, lounges, and meeting rooms.

You'll use this to train latent diffusion models and multimodal transformers for scene synthesis, enhancement, and object segmentation. Your models will anchor generative multimodal AI workshops and challenges at international venues.

Skills required: multimodal signal processing, generative modelling (diffusion models, transformers), data capture and pipeline engineering. Prior experience with multimodal signal processing is a real advantage.




Best,

Iran