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Research Officer in Social Media Analysis

School of Sport and Health Sciences

Location:  Eastbourne
Salary:  £32,348 to £36,386 per annum
Contract Length: 12 months
Closing Date:  Sunday 09 October 2022
Interview Date:  To be confirmed
Reference:  HE4035-22-403

This is an exciting opportunity to work on an Arts and Humanities Research Council (AHRC) funded project investigating online hate in football, collaborating and supporting an international team of social and data scientists.

Tackling Online Hate in Football (TOHIF) aims to address the issue of online hate with an innovative combination of state-of-the-art quantitative data analysis, nuanced qualitative critical analysis and grassroots activism against hate speech.  The project brings together a range of diverse expertise (data analysis, network building, interview skills, discourse analysis, etc.) and engage with all of the relevant stakeholders (player representatives, governing bodies, policy makers, social media platforms, fan organisations, etc.) in order to craft a genuinely effective response to the problem.

In your new role, you will be responsible for supporting the technical side of the data management, collection, storage and analysis.  You will also be expected to support the research methodologies of the project and contribute to research outputs and dissemination.

Our successful candidate will have:

  • A good (1 or 2:1) degree in computer science, statistics, mathematics, data science or related field
  • Experience in applying user analytics, content analytics, and network analytics to social media datasets, and significant statistical and/or machine learning (incl. deep learning) content
  • Strong programming skills in related areas, e.g. SQL, R, Python
  • Communication skills and well-developed ability to communicate technical concepts to non-experts
  • The ability to collaborate, in particular with industry partners, with evidence of participation in interdisciplinary research projects
  • Experience working with large and diverse datasets and/or relevant publications in the modelling and analysis of large datasets

For further details of this role, please see the attached job description and person specification.

This is a fixed term post full-time post for 12 months.  It is offered on a 1.0 full-time equivalent basis, however we welcome applications from candidates seeking to job share.

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Further details:

The University is committed to an inclusive environment which embraces equality and diversity in our working, learning, research and teaching environment. We particularly encourage applicants from Minority Ethnic backgrounds because the university is underrepresented by Minority Ethnic staff.

Further information about working for us, as well as the wide range of benefits we offer, can be found in the working with us section of our vacancies page.


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