In this role you will provide teaching support by contributing to the training, feedback and assessment for first or second year undergraduate students on Mathematical and Statistical degree programmes. In particular, you will support the Personal Development and Employability Skills (PD&ES) component of the core modules at Levels One and Two.
Working with between 10 and 20 other Teaching Support Assistants, you will aid the School’s Employability Team who co-designed and co-created the PD&ES training, with the support of a team of undergraduate interns. You will be offered full training and your work will be completed under direct supervision. Your goal will be to enhance the quality of the student learning experience by offering high quality teaching support and feedback.
Key Information:
Main duties and responsibilities:
- Deliver predetermined activities to support teaching staff, including contributing to the feedback and assessment of student coursework.
- Assist in the organisation and running of training, feedback and assessment activities for modules, in liaison with more senior colleagues.
- Provide written and/or verbal feedback on undergraduate coursework submissions. This will include the following:
-Reading a collection of briefing documents about the tasks set and attending related training.
-Reading student submissions, offering constructive written feedback and grading the work on a clearly defined scale
- Liaise directly with students, if asked to do so by academic staff.
- Plan and prioritise your own workload daily.
- Any other duties, commensurate with the grade 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 are 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.
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Criteria
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Essential/ Desirable
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Assessment Stage
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Expecting to be in year 3, or above, of a highly numerate undergraduate degree programme in 2025-26 (or have equivalent experience).
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Essential
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Application paperwork
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Effective interpersonal skills, both written and verbal, to support and liaise with staff and students.
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Essential
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Application paperwork and interview
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Ability (with appropriate training and support) to review coursework submissions and offer constructive feedback.
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Essential
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Application paperwork, pre-interview task and interview
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Ability and willingness to engage in relevant departmental training.
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Essential
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Application paperwork
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Experience of adapting your own skills to new circumstances.
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Essential
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Application paperwork, pre-interview task and interview
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Ability to work as part of a team.
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Essential
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Application paperwork and interview
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A good understanding of career pathways popular with maths and stats graduates.
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Desirable
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Application paperwork and interview
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Knowledge and experience of using MySkills.
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Desirable
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Application paperwork and interview
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Next steps in the recruitment process:
It is anticipated that the selection process will take place during summer 2025. This will consist of submission of a CV and cover letter, short-listing based on the documents submitted, a pre-interview task and an interview.
Initial application is via
- a CV, carefully tailored to the role described in the job description, and
- a cover letter highlighting key aspects of the applicant's experience that they feel is relevant and outlining their motivation for supporting other students with their Personal Development and Employability Skills training.
Email both documents to Prof Caitlin Buck ([email protected]) by the deadline indicated. Please use the subject line: Job Application - Teaching Support Assistant, Employability Team - [Applicant Name]
Closing Date: 10th August.
Interviews: 27th and 28th August.
Contact [email protected] if you require reasonable adjustments at any point during the selection process or have any informal enquiries.
Our vision and strategic plan:
We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision.