Published: 17 Mar 2026 468 views
This fully funded Project in Computer Science will explore how different aspects of speech data are expressed in model space, in the context of automatic speech recognition and diarisation. The objective of this work is to explore methods to attribute elements of model spaces to skills, or specific aspects of the data. This can be used either as input in hypermodelling, where new models for specific domains are generated, or for improved structuring in model training and design.
You should have, or be expecting to obtain, a high-quality undergraduate (ideally first class) or masters (ideally distinction) degree in a relevant discipline.
Suitable backgrounds are (but not limited to):
Computer Science
Engineering (e.g., electrical and electronic engineering, control engineering, etc.)
Mathematics
Regardless of background, you must be able to demonstrate strong mathematical aptitude (minimally to UK A-Level standard or equivalent) and good experience of programming.
We will also consider applicants with a professional background, so long as you are able to provide evidence of demonstrable academic skills as well as practical experience.
We particularly encourage applications from members of groups that are underrepresented in technology.
If English is not your first language, you will need to meet our English Language Requirements. You must have an IELTS grade of 6.5 overall with a minimum of 6.0 in each component.
Equivalent scores in other English language qualifications are welcome; see the University’s guidance for more information on permitted qualifications.
For more details, visit Sheffield University Scholarship webpage
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