Research Associate in Digging into Digital Footprints Data in Bristol
Research Associate in Digging into Digital Footprints Data

Research Associate in Digging into Digital Footprints Data in Bristol

Bristol Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct qualitative research on digital footprints and their impact on social sciences.
  • Company: Join the University of Bristol's dynamic research team in digital social sciences.
  • Benefits: Gain experience in interdisciplinary research, access to senior researchers, and publication opportunities.
  • Why this job: Make a real difference in understanding digital data's role in society while collaborating with experts.
  • Qualifications: PhD (or nearing completion) in Sociology or related field, strong qualitative research skills.
  • Other info: Open-ended contract with fixed funding until January 2027; inclusive and supportive work environment.

The predicted salary is between 36000 - 60000 £ per year.

This is an exciting opportunity for a Research Associate (RA) to join an interdisciplinary team (crossing Sociology and Computer Science) as part of a one-year Accelerator project for UKRI Smart Data Research. The Digging into Digital Footprints project aims to create an open framework to help researchers better understand and use ‘digital footprints data’ in social research.

The RA will be responsible for carrying out qualitative research into how forms of digital data (e.g. web archives, social media, and emerging forms of ‘synthetic data’) are collected and created in several empirical cases, and critically, their implications for social research. The RA will collaborate with project colleagues in the development and analysis of ‘data journeys’ and an open framework for working with new sources of social data, including data generated through AI-enabled tools/models.

The role will include responsibilities such as:

  • Carrying out qualitative research with participants on the opportunities and challenges of working with new forms of digital data in the social sciences.
  • Collaborating in the development of ‘data journeys’ on the life cycle (collection, creation, use) of new forms of social data.
  • Collaborating in the creation of an open, empirical framework for describing, re-using and working with digital footprints data in the social sciences, including AI-enabled tools and data.
  • Co-organising workshops with researchers working with these data.
  • Collaborating in the analysis and dissemination of qualitative data captured as part of the above activities.

The successful applicant will be supported in developing experience in interdisciplinary research and establishing a strong research profile including opportunities for research publication/dissemination, access to senior researchers and connected networks, and strong links to BDFI, CenSoF and WSI.

Requirements:

  • A PhD (or nearing completion) in a relevant field (e.g. Sociology, Science and Technology Studies).
  • Good knowledge of digital social science.
  • Strong qualitative research skills (interviews, ethnographic approaches).
  • Knowledge and/or experience working with digital data/methods in the social sciences, ideally including working knowledge of AI-driven tools and data.
  • Emerging track record in academic publication, including conference presentations.
  • Commitment to interdisciplinary research across the Social and Computational Sciences and working with non-academic partners.
  • Experience or interest in facilitating workshops and events.

Contract type: Open ended with Fixed Funding until 04/01/2027

Work pattern: Full time

Grade: I

This advert will close at 23:59 UK time on Sunday 4th January 2026.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

Research Associate in Digging into Digital Footprints Data in Bristol employer: Scholarshipdb

The University of Bristol is an exceptional employer, offering a vibrant and inclusive research environment that fosters interdisciplinary collaboration in the digital social sciences. As a Research Associate, you will benefit from strong support for professional development, access to senior researchers, and opportunities for impactful academic publication, all while being part of a community that values diversity and innovation in research.
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Contact Detail:

Scholarshipdb Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate in Digging into Digital Footprints Data in Bristol

✨Tip Number 1

Network like a pro! Reach out to people in your field, especially those connected to the University of Bristol or the project. Attend relevant events and workshops to make connections that could lead to job opportunities.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your qualitative research work, especially any projects involving digital data or AI tools. This will help you stand out during interviews and discussions.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around your experience with digital social science and interdisciplinary research.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our dynamic team at StudySmarter.

We think you need these skills to ace Research Associate in Digging into Digital Footprints Data in Bristol

Qualitative Research Skills
Interviews
Ethnographic Approaches
Digital Data Analysis
AI-Driven Tools Knowledge
Interdisciplinary Research
Workshop Facilitation
Academic Publication
Data Journey Development
Collaboration Skills
Communication Skills
Critical Thinking
Social Research Methodologies
Networking

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Research Associate role. Highlight your relevant experience in qualitative research and digital data, and show us how your skills align with the project’s goals.

Show Your Passion: Let your enthusiasm for interdisciplinary research shine through! We want to see your commitment to exploring the intersection of Sociology and Computer Science, so share any relevant projects or experiences that fuel your interest.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.

Apply Through Our Website: Don’t forget to submit your application through our official website! This helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!

How to prepare for a job interview at Scholarshipdb

✨Know Your Digital Footprints

Make sure you understand the concept of digital footprints and how they relate to social research. Brush up on recent studies or frameworks that have been developed in this area, as it will show your genuine interest and knowledge during the interview.

✨Showcase Your Qualitative Skills

Prepare to discuss your qualitative research experience in detail. Think of specific examples where you've conducted interviews or used ethnographic methods, and be ready to explain how these skills will help you in this role.

✨Collaborative Spirit is Key

This role involves a lot of collaboration, so be prepared to talk about your experiences working in interdisciplinary teams. Highlight any workshops or events you've facilitated, and how you’ve successfully engaged with both academic and non-academic partners.

✨Stay Updated on AI Tools

Since the role involves working with AI-driven tools, make sure you're familiar with the latest developments in this area. Be ready to discuss how you’ve used or plan to use these tools in your research, as it will demonstrate your forward-thinking approach.

Research Associate in Digging into Digital Footprints Data in Bristol
Scholarshipdb
Location: Bristol

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