Research Assistant in Social Data Science and Online Harms in Social Data Science

Queen Mary University of London School of Electronic Engineering and Computer Science

United Kingdom

Research Assistant (RA) or Postdoctoral Research Assistant (PDRA)

Department: School of Electronic Engineering & Computer Science
Salary: Grade 4 £33,619 - £35,411 for RA & £36,348 - £42,592 per annum for a PDRA (Grade 4)
Reference: QMUL30338
Location: Mile End
Date posted: 7 November 2022
Closing date: 4 December 2022

Further details and apply


About the Role

Applications are invited to join world-leading researchers to work on social data science and online harms in our Social Data Science lab.

The position will involve exploring large-scale social media datasets to understand how people behave during major life transitions; devising novel methodologies to automatically target support for people during such transitions; exploring how this can be offered in a privacy-centric fashion. The role is part of AP4L project, alongside the Universities of Surrey, Cambridge, Strathclyde, and Edinburgh.

About You

Candidates should have experience in Social Computing, Data Science, Machine Learning and/or NLP, as well as good/excellent general programming skills and technical writing skills (for RA/PDRA applications respectively). Applicants at the PDRA level must also have a PhD in a relevant topic.

About the School of EECS

As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021). 

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.


We offer competitive salaries, pension scheme, 30 days’ leave per annum, a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Mile End Campus in London. It is a full-time (35 hours per week), fixed term contract for 24 months or until 31 March 2025 (whichever is shorter), with potential opportunities for extension. The starting salary will be in the range of Grade 4, £33,619 - £35,411 per annum pro-rata for a RA and Grade 4 £36,348 - £42,592 per annum pro-rata for a PDRA inclusive of London Allowance.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or job share, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave. We also encourage men to apply for this position to balance the gender distribution in our administrative team.

Please address informal enquiries to Dr. Castro ( Details about the School can be found at

Candidates are kindly requested to upload a CV and covering letter only; certificates, references and personal documents should not be provided at this stage.

To apply for the role, please click the ‘apply’ button below.

The closing date for applications is 4 December 2022.   Interviews are expected to be held shortly thereafter.

 Valuing Diversity & Committed to Equality

Proud to be a London Living Wage Employer

Further details and apply

In your application, please refer to