University of Salford
6 days ago
Fully Funded PhD Studentship in Dialogue Understandability, Audio Engineering, and Machine Learning University of Salford in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship funded by DTS (Xperi). The project is supported through collaboration with Xperi Inc. / DTS, Inc.; no stipend amount or tuition details are stated in the post.
Deadline
Sep 30, 2026
Country
United Kingdom
University
University of Salford

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About this position
Fully funded PhD studentship at the Salford Acoustics Research Centre, University of Salford, in the UK.
Project title: Modelling Dialogue Understandability in Media Using Listener Types and AI.
This PhD addresses a major challenge in film, television, and streaming media: why dialogue can be hard to follow even when it is audible. The project moves beyond traditional speech intelligibility measures and focuses on dialogue understandability, i.e., how listeners comprehend narrative content without excessive cognitive effort.
The research sits at the intersection of audio engineering, machine learning, speech processing, acoustics, and media-focused listener perception research. It is based at the University of Salford and involves collaboration with Xperi Inc. / DTS, Inc.
Eligibility: the post is aimed at applicants with a background in machine learning and audio engineering, speech processing, or a related discipline. The post states that UK applicants only may apply.
Funding: the studentship is fully funded and supported by DTS (Xperi). No stipend amount, tuition coverage breakdown, or additional financial details are provided in the post.
Deadline: applications close on 30 September 2026. The project is due to start in January 2027.
How to apply: review the details at the linked page, then submit an application before the deadline. Informal enquiries may be directed to Dr Ben Shirley by email.
Funding details
Fully funded PhD studentship funded by DTS (Xperi). The project is supported through collaboration with Xperi Inc. / DTS, Inc.; no stipend amount or tuition details are stated in the post.
What's required
Applicants should have a background in machine learning and audio engineering, speech processing, or a related discipline. UK applicants only.
How to apply
Read the project details at the linked page and submit an application by 30 September 2026. Informal enquiries can be made to Dr Ben Shirley by email.
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