Teaching Associate in Social Statistics (Teaching Only)

Applications are welcome for a Teaching Associate in Social Statistics. You will deliver tutorials and computer labs at undergraduate and postgraduate modules, inclusive of marking assessed work and providing feedback to students, where applicable. This will include undergraduate modules in Social Statistics/Data Analytics pathway, on our Master’s programme in Social Research Methods & Statistics, as well as contribute to the development of the new Master’s in Data Analytics and Social Statistics by distance learning. The modules will include topics related to social statistics, survey analysis, longitudinal data analysis, demography and social research methods. We use R in most of our tutorials and computer labs. There will also be opportunities to deliver guest lectures and supervise dissertations in the Social Statistics department.

This role is intended to provide a level of teaching experience which will you to be better equipped in securing further and more advanced teaching roles and the aim is to offer this opportunity as widely as possible. Therefore, it is not anticipated that you will be reengaged should there be a requirement for a similar role at the conclusion of this contract.

Applicants should submit

1. A most recent CV.
2. A supporting statement outlining how they meet the essential and desirable criteria.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Arkadiusz Wisniowski

Email: a.wisniowski@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

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