Research Associate - Translation as Method in Global Mental Health

The University of Manchester; Manchester; Remote; GBP 30,000 - 40,000; Full time

Job summary

The University of Manchester seeks a Research Associate for a project on translation in global mental health. The role involves data collection, analysis, and co-authoring outputs, requiring a PhD and research experience. Flexible working is possible.

Benefits

Market leading Pension scheme

Employee Assistance Programme

Exceptional annual leave entitlement

Paid closure over Christmas

Local and national discounts

Qualifications

• Experience in translation studies or global mental health.
• Comfortable navigating online research journals.

Responsibilities

• Data collection and processing for a funded project.
• Establish parameters for collecting research articles.

Skills

Research experience

Translation studies

Global mental health

Applied linguistics

Education

PhD or equivalent

Job description

Research Associate - Translation as Method in Global Mental Health

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Research Associate - Translation as Method in Global Mental Health

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Join to apply for the Research Associate - Translation as Method in Global Mental Health role at The University of Manchester

The University of Manchester Centre for Translation and Intercultural Studies seeks a postdoctoral research associate (PDRA) to work on data collection and processing for the BA/Leverhulme Small Grant-funded project titled “Translation as Method in Global Mental Health”.

The project is a BA/Leverhulme Small Grant-funded project titled “Translation as Method in Global Mental Health”, run by Dr Anna Strowe (PI) from the Centre for Translation and Intercultural Studies and Dr Richard Fay (Co-I) from the Manchester Institute for Education. It aims at assessing the ways in which Translation and Interpreting (T&I) are used in GMH research and how that use is reported and understood (or not) as a part of the methodology in the eventual outputs. The project will run from 1 July 2025 to 1 March 2026, and aims at two main outputs, which will be co-authored by the team (including the PDRA): one a bibliometric analysis of the outputs and the other a discourse analysis-based study of the discussions of language and translation present in the dataset. The bulk of the data collection will happen from July through September, with analysis and writing up in the autumn and winter.

The PDRA position is for 240 hours, mainly July-September (the first three months of the project), and largely self-scheduled (there is some flexibility here; the main data collection will be July-September, when the bulk of the hours will need to be scheduled, but the contribution to analysis and writing up can be flexible if the successful candidate wishes to complete their work in those first three months rather than continuing on the lower FTE). The PDRA will, in concert with the PI (Dr Anna Strowe) and Co-I (Dr Richard Fay), establish a set of parameters for collecting a corpus of recent research articles in GMH, as well as protocols for processing and coding the articles. The data collection will take place mainly from July-September 2025, supervised by Dr Strowe. Depending on the time needed for the data collection and scheduling needs, the RA will be more or less involved in analysis and writing up of one of the two outputs, which will take place October-February (the final five months of the project). (They will be listed as a co-author on both in any case for their role in data collection and processing.)

The successful candidate will have research experience (PhD or equivalent) in translation studies, global mental health, applied linguistics, or a related discipline and should be comfortable navigating online research journals and reading academic papers.

Shortlisted candidates will be asked to submit by email a sample of their academic writing, whether that is a published article or a thesis chapter, before their interview (interview date TBD but within one to two weeks of the closing date).

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

As a member of research staff, the PDRA will also have access to the University of Manchester’s Researcher Development resources (https://www.researcherdevelopment.manchester.ac.uk/researcher-development-for-research-staff/).

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

This role can be entirely remote.

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 [e-mail].

Any CVs submitted by a recruitment agency will be considered a gift.

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

Enquiries about the vacancy, shortlisting and interviews:

Name: Anna Strowe

Email: [e-mail]

General enquiries:

Email: [e-mail]

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.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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