University of Southampton
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PhD in AI for Decoding Listening Fatigue from Wearables University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. The post indicates funding is available through the competition-funded route; no stipend amount or tuition details are stated in the text provided.
Deadline
Jan 31, 2027
Country
United Kingdom
University
University of Southampton
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About this position
PhD opportunity at the University of Southampton in AI for listening fatigue detection from wearables.
This postgraduate research project, titled The attentive ear: AI to decode listening fatigue from wearables, combines computer science, electrical engineering, biomedical engineering, neuroscience, and psychology. The research aims to build multimodal deep learning systems that fuse asynchronous physiological signals such as EEG, pupillometry, heart rate/ECG, galvanic skin response, and related wearable data to distinguish genuine cognitive listening fatigue from general sensory arousal in noisy environments.
The project uses multimodal transformers, self-supervised learning, and sequence modelling in PyTorch. Experimental work will take place in the University’s world-class acoustic laboratories and calibrated listening booths at the Institute of Sound and Vibration Research (ISVR), with access to the University’s High-Performance Computing cluster (Iridis).
Funding: competition funded. The page does not state a stipend amount or full fee coverage in the excerpt provided.
Entry requirement: a 2:1 honours degree. The project is suitable for applicants interested in machine learning, hearing science, biosignal analysis, and experimental human research.
Deadline: 31 January 2027.
Applicants should review the project page, check the full entry requirements, and apply through the University of Southampton postgraduate research application route before the closing date.
Funding details
Competition funded PhD project. The post indicates funding is available through the competition-funded route; no stipend amount or tuition details are stated in the text provided.
What's required
Applicants should have a 2:1 honours degree. The project is interdisciplinary and suited to candidates with interest in machine learning, biosignals, hearing science, and experimental research. Training will cover deep learning, PyTorch, EEG/pupillometry/ECG/skin conductance methods, and ethical human research governance.
How to apply
Review the project details and full entry requirements on the University of Southampton page, then use the project application route on the postgraduate research site to apply before the closing date. Check the contact and how-to-apply sections on the page for the exact submission steps.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.