PhD in Digital Economy & Society - Interdisciplinary CS

Swansea University

Swansea

On-site

GBP 20,000 - 24,000

Full time

9 days ago

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Benefits offered by this job

Stipend
Tuition fees covered
Research Training Support Grant

Job summary

Swansea University is offering a 35-hour-week ESRC WGSSS-funded PhD studentship in Digital Economy and Society within Computer Science. Open to UK and international applicants, starting October 2027, with a stipend and fees covered by the grant.

Applicants must secure supervision and meet English language requirements. The pathway emphasizes interdisciplinary research using computational methods to explore human behaviour and online interactions, with potential for Welsh and UK collaboration and

Qualifications

  • Applicants should have an honours degree at a first or upper second-class level, or a master's from a UK academic research organisation.
  • The role involves interdisciplinary projects using computational methods with social science challenges.
  • Strong background in quantitative and digital analytical methods is preferred.

Responsibilities

  • Contribute to interdisciplinary research projects in Digital Economy and Society.
  • Collaborate with multidisciplinary teams across departments and centers.
  • Engage with supervisory teams to develop draft applications and research plans.

Skills

Interdisciplinary research
Quantitative analysis
Digital analytics
Qualitative research

Education

Honours degree (first or upper second-class)
Master's degree

Job description

Swansea University is offering a 35-hour-week ESRC WGSSS-funded PhD studentship in Digital Economy and Society within Computer Science. Open to UK and international applicants, starting October 2027, with a stipend and fees covered by the grant.

Applicants must secure supervision and meet English language requirements. The pathway emphasizes interdisciplinary research using computational methods to explore human behaviour and online interactions, with potential for Welsh and UK collaboration and

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