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- Tasks: Assist in teaching and developing innovative speech processing materials.
- Company: Join the renowned Speech and Hearing group at the University of Sheffield.
- Benefits: Enjoy flexible working, generous leave, and professional development opportunities.
- Why this job: Make a real impact in speech technology while gaining valuable teaching experience.
- Qualifications: Undergraduate degree in computer science or related field; experience in speech processing preferred.
- Other info: Be part of a diverse community that values your unique contributions.
The Speech and Hearing (SpandH) group was established in the Department (now School) of Computer Science at the University of Sheffield in 1986, and enjoys an international reputation for research in computational hearing, speech perception and speech technology. It includes five professors, three lecturers and many research associates and PhD students. SpandH group members play key roles in the international speech and hearing community by serving on the boards of the International Speech Communication Association and IEEE Speech and Language Committee, organising major international SLT conferences, and participating in US IARPA evaluations that have driven progress in the SLT area since the 1990s. Among other responsibilities, the SpandH group is in charge of teaching future generations of computer scientists how to process speech with computers and how to build speech-based technologies.
Main Duties And Responsibilities
- Collect, analyse, summarise and present information in a verbal and written form.
- Propose and implement teaching ideas in practice, for example, by formulating a teaching activity, creating the corresponding taught material, delivering teaching and assessing the outcome of teaching activities.
- Create new teaching material and/or analyse and propose modifications to existing teaching materials.
- Organise and actively participate in meetings related to teaching speech processing and speech technology modules.
- Engage in teaching, learning and assessment activities related to speech processing and speech technology modules.
- Carry out other duties, commensurate with the grade and remit of the post.
Person Specification
Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn’t match perfectly with this role’s criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.
Criteria
- Hold an undergraduate degree in computer science or a related subject, or equivalent experience.
- Prior exposure to speech processing and speech technology modules, or their formal equivalents in other schools/universities, or their other equivalents.
- Knowledge and experience of speech processing and at least one speech technology.
- Knowledge and experience of the vast majority of speech technologies.
- Experience with creating high-quality teaching content.
- Experience with delivering teaching.
- Ability to use relevant Microsoft and Latex document processing systems.
- Ability to create graphics, illustrations and animations.
- Good communication skills and proven teamworking experience.
- Proven track record of meeting deadlines.
Further Information
Grade: Grade 6 £32,080 pro rata (equivalent to a full-time salary), with an actual salary of £4,583 per annum based on five hours a week.
Work arrangement: Part-time
Duration: Line manager Senior Lecturer in Speech and Language Technologies (project lead)
Direct reports: None
For informal enquiries about this job contact Dr Anton Ragni, project lead, at A.Ragni@sheffield.ac.uk or on +44 114 222 1800.
Next steps in the recruitment process
It is anticipated that the selection process will take place about three weeks after the closing date. This will consist of a presentation and an interview. We plan to let candidates know if they have progressed to the selection stage on the week commencing 16th February 2026. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact the Computer Science Recruitment Team at COM-Recruitment@sheffield.ac.uk.
What We Offer
- A minimum of 38 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
- Flexible working opportunities, including hybrid working for some roles.
- A wide range of discounts and rewards on shopping, eating out and travel.
- A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
- Recognition Awards to reward staff who go above and beyond in their role.
- A commitment to your development access to learning and mentoring schemes.
- A range of generous family-friendly policies paid time off for parenting and caring emergencies support for those going through the menopause paid time off and support for fertility treatment and more.
We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.
Teaching Assistant in Speech Processing in Sheffield employer: The University of Sheffield
Contact Detail:
The University of Sheffield Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Teaching Assistant in Speech Processing in Sheffield
✨Tip Number 1
Get to know the SpandH group! Research their projects and recent publications. This will not only help you in interviews but also show your genuine interest in their work.
✨Tip Number 2
Practice your teaching delivery! Create a mini-lesson on a speech processing topic and present it to friends or family. This will boost your confidence and help you refine your communication skills.
✨Tip Number 3
Network with current or former members of the SpandH group. Reach out on LinkedIn or attend relevant events. Building connections can give you insider tips and make you stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the details you need about the role and the team.
We think you need these skills to ace Teaching Assistant in Speech Processing in Sheffield
Some tips for your application 🫡
Show Your Passion for Speech Processing: When writing your application, let your enthusiasm for speech processing and technology shine through. Share any relevant experiences or projects that highlight your interest in the field, as this will help us see your genuine commitment to the role.
Tailor Your Application to the Job Description: Make sure to reference the specific criteria mentioned in the job description. We want to see how your skills and experiences align with what we're looking for, so don’t be shy about showcasing your relevant qualifications!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and structure your thoughts logically. This will make it easier for us to understand your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application is received and considered. Plus, you’ll find all the necessary details and updates there!
How to prepare for a job interview at The University of Sheffield
✨Know Your Speech Processing Stuff
Make sure you brush up on your knowledge of speech processing and technology. Familiarise yourself with the latest trends and tools in the field, as well as any relevant projects or research that the SpandH group has been involved in. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Prepare Teaching Material Examples
Since the role involves creating and delivering teaching content, come prepared with examples of high-quality teaching materials you've developed in the past. Think about how you can adapt these for speech processing modules and be ready to discuss your thought process behind them.
✨Practice Your Presentation Skills
You'll likely need to give a presentation as part of the selection process, so practice is key! Focus on clear communication and engaging your audience. Use visuals effectively, and consider how you can make complex concepts accessible to students who may not have a strong background in speech technology.
✨Show Off Your Team Spirit
The SpandH group values collaboration, so be ready to share examples of how you've worked successfully in teams. Highlight your communication skills and any experiences where you contributed to a positive team dynamic, especially in teaching or research settings.
