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Research Fellow in Music and Computational Social Science

Job at University of Leeds in Leeds, West Yorkshire, LS2

Research Fellow in Music and Computational Social Science: An Exciting Opportunity in Music Research

This Research Fellow position within the School of Media and Communication presents a unique and compelling opportunity for an ambitious researcher to make significant contributions to the field of music studies, particularly through the lens of computational social science. Working under the esteemed Professor David Hesmondhalgh, and as a vital part of the successful and well-established MUSICSTREAM project, candidates will engage in cutting-edge research funded by a prestigious European Research Council Horizon 2020 Advanced Research Grant.

Key Advantages for Candidates:

  • Be Part of a Leading Research Project: You will join an ongoing, well-funded, and internationally recognized project, MUSICSTREAM: Music Culture in the Age of Streaming, which runs until 2026. This offers a stable and supportive environment for impactful research.
  • Lead and Develop Sub-Projects: This role offers significant autonomy to develop and lead sub-projects focused on music distribution and consumption. This is an excellent opportunity to shape your research agenda and gain leadership experience.
  • Utilize Advanced Methodologies: You will employ and further develop methods associated with computational social science, a rapidly growing and highly relevant area within academic research. This will equip you with valuable, in-demand skills.
  • Contribute to High-Impact Publications: A core responsibility will be contributing to the formulation and submission of research publications. This is crucial for career progression and establishing your academic profile.
  • Gain Project Management Experience: The role includes opportunities to assist in managing and directing the project, providing valuable experience in project leadership and coordination.
  • Generous Benefits Package: The institution offers an attractive package including 26 days of annual leave plus approximately 16 additional days off, a generous pension scheme with life assurance, and access to a state-of-the-art campus gym.
  • Professional Development Opportunities: You will have access to a wide range of courses through the Organisational Development & Professional Learning team, fostering continuous learning and skill enhancement.
  • Supportive Environment: Beyond professional development, the institution provides access to on-site childcare, shopping discounts, and travel schemes, contributing to a healthy work-life balance.

Key Considerations for Your Career Path:

  • Strong Academic Background Required: A solid foundation in music studies, media and communication, or a related social science discipline is essential, coupled with demonstrated experience in computational social science methods.
  • Research Focus: Candidates should possess a keen interest in the distribution and consumption of music, and a passion for exploring these themes through quantitative and computational approaches.
  • Publication Ambition: This role is ideal for individuals with a strong drive to publish in high-impact academic journals and contribute meaningfully to scholarly discourse.
  • Collaborative Spirit: While leading sub-projects, the ability to collaborate effectively within a research team and with Professor Hesmondhalgh is paramount.
  • Long-Term Vision: The project duration offers a substantial period to immerse yourself in research. Candidates should consider how this role aligns with their long-term career aspirations in academia or related industries.

This Research Fellow position is an exceptional platform for an emerging or established scholar seeking to merge their passion for music with the power of computational social science. It offers a chance to work on a significant, well-funded project with a leading academic, develop valuable transferable skills, and contribute to the ongoing evolution of music research.

Salary: £41,064 to £48,822 p.a.

Closing Date: 16 November 2025

ID 1246988 Sectors:
in Leeds, West Yorkshire, England, LS2

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