Lecturer or Reader in Speech Technology

Clocing date: 12/01/2023, 5pm 

Full-time: 35 hours per week 

Open-ended: Permanent 

The Opportunity:

The School of Informatics at the University of Edinburgh invites applications for an academic position to strengthen its profile in the area of Speech Technology.  An ideal candidate will be able to contribute to both to the Centre for Speech Technology Research (CSTR) and the Institute for Language, Cognition, and Computation (ILCC). There are also potential links to other Institutes and Schools as detailed below. 

The successful candidate will have (or be near to completing) a PhD, an established research agenda and the enthusiasm and ability to undertake original research, to lead a research group, and to engage with teaching and academic supervision. We are seeking current and future leaders in the field who are able to forge new collaborations both within the field and across disciplines.  We are particularly looking for a candidate with potential to extend the breadth of our research beyond our traditional core strengths in speech recognition and synthesis towards emerging applications, for example in spoken dialogue systems; spoken language understanding; healthcare and assistive technology applications; explainable speech processing; human computer interaction; or autonomous systems.

In the case of an exceptional applicant, an appointment may be available as a Reader (Grade UE09). The level of appointment would be determined by the selection panel following interview in Edinburgh in early 2023.

All applications must contain the following supporting documents:

• Teaching statement
• Research statement
• Full CV (resume) and publication list

We recognise that the pandemic may have affected some applicants disproportionately and aim to take this into account in the selection process. Applicants can optionally include a short statement regarding how their work has been disrupted by Covid-19, and how this affects their recent track record. This statement should be part of the cover letter and should not be more than a paragraph in length.

Please note that references will be sought for all shortlisted candidates. Please indicate on your application form if you are happy for your referees to be contacted.

Your skills and attributes for success:

UE08 Lecturer:

• PhD or equivalent (such as extensive industry experience), and experience as an established academic in Speech Technology or a related field

Candidates who are close to completing their PhD (ie. thesis submission is imminent), and who otherwise meet the selection criteria, will be considered.

• Ability to undertake original research, including leading a research group.
• Ability to attract research funding as an independent researcher.
• A track record of first author and/or collaborative publications in high quality journals and international conferences.
• Effective written and oral communication skills in a range of contexts (e.g. teaching, research presentations and publications).
• Ability to contribute to teaching on a range of non-Honours courses as well as in more specialist areas of machine learning.

The ability to engage with a range of teaching mediums including online and distance learning.

UE09 Reader*: as above and including:

• Proven ability to provide leadership for activities in delivering the School’s objectives.
• Extensive experience in research, postgraduate supervision and teaching.
• Proven ability to foster and embed a strong student-focused culture.
• Experience of managing, motivating and developing research staff, students and projects

.*PhD must be completed for a Reader appointment.

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