Recruiting a three-year postdoctoral researcher and 1-2 PhD students

The Synthetic Society Lab at the Oxford Internet Institute invites applications from enthusiastic and motivated candidates for a postdoctoral position, working on cutting-edge research at the intersection of Machine Learning, Privacy, and Public Interest Technology.

©OUImages/John Cairns

3-Year Postdoctoral Researcher (deadline: 17 July 2025, noon)

This postdoctoral position is full-time and fixed-term for 36 months with the possibility of renewal thereafter. You will be based in Oxford as your normal place of work with the possibility of hybrid work within the UK only.

We are looking for a candidate interested in developing their own research questions in alignment with the interests and skills present in the research team. We are particularly interested in investigating how modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research with potential to not only improve how researchers access crucial sensitive data around the world, but also build tools for them to understand if the anonymised data they receive is “good enough” to conduct rigorous research.

The selected candidate will be provided significant resources, including generous opportunities for international training and conference attendance, IT equipment, as well as access to the group dedicated computing cluster environment with H100, L40s, and A40 GPUs. This post is funded by the UKRI Future Leaders Fellowship, a flexible long-term public funding scheme that provides autonomy and flexibility to focus on research that matters. There are opportunities to collaborate with partners providing unique fine-grained access to healthcare data, as well as colleagues in Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health.

Requirements

We are looking for candidates able to conduct critical evidence-based investigations into AI and privacy technologies, and will work to train, support, and nurture the right candidate.

  • Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics, applied mathematics, or related fields.

  • The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author publications is expected from applicants.

Application process

Applications are now open on the OII website and will close on 17 July 2025 at precisely noon UK time.

If you would like to discuss this role please contact Dr Luc Rocher at x (at) y where x=luc.rocher and y=oii.ox.ac.uk.

If you are eager to contribute to groundbreaking research, and have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae, and the names and contact details of two referees as part of your online application. Referees will be contacted if you are shortlisted for interview.

©OUImages/Elizabeth Lettmann

DPhil (PhD) Students (deadline: January 2026)

Each year, we are recruiting 1–2 motivated students to start a PhD (called a DPhil at Oxford) in the Fall. Projects are defined in close collaboration with the student, but could tackle, for example: critical looks at the use and impact of privacy-enhancing technologies on academic research and society, the impact of AI and algorithms on digital platforms and data sharing, and the use and misuse of machine learning for social good. As a general rule, we are interested in human-centred and critical approaches to study data-centric technology, algorithm auditing, and privacy engineering.

We are first looking for candidates with a background in applied mathematics, computer science and HCI, and complex systems to critically explore the harms of technology, answer novel questions with the potential to change how people, policymakers, and civil society engage with technology, and co-design better digital futures.

Diversity

The Oxford Internet Institute is committed to enhancing diversity and promoting equality of opportunity amongst all our staff and students. We particularly encourage applicants of all backgrounds and ages to apply, in particular women, disabled, BAME, LGBTQIA+ candidates as well as candidates from working-class backgrounds who face difficulties accessing academia, and we will do our best to support your application. oSTEM and Queer in AI have been running a financial aid support scheme to help cover admission costs (as well as application reviews!), which will hopefully run this year too.

Logistics

The OII uses a centralised application system on which the full application (CV, research statement, transcripts, and recommendation letters) needs to be submitted by the deadline (please select Dr. Luc Rocher as the “proposed supervisor”). The departmental deadline will be early January 2026 for final applications. Interested candidates are, however, strongly encouraged to contact Luc in fall 2025 to discuss proposal, funding, and research direction.

Inquiries

If you have any additional query, please send an email titled ‘OII DPhil Supervision FIRSTNAME LASTNAME’ at x@y with x=luc.rocher and y=oii.ox.ac.uk. In your email, please attach your CV and briefly:

  1. introduce yourself,
  2. suggest how our research interests complement each other,
  3. suggest 2-3 areas of research you’d be interested to work on. While your research can and will change over time, do note that the OII and scholarship committees will decide to admit you based on your research proposal, so you need a clear proposal by January 2026.

Please see the following pages for advice on how to send emails to faculty and writing a CV (as well as sample CVs).

©OUImages/Toby Ord

Additional Researcher positions

If you want to propose joining the team on an externally-funded postdoctoral scholarship, please get in touch.

Funding available to applicants of all nationalities, regardless of their UK residency status:

For applicants based in the UK or with a UK degree:

For applicants based abroad:

Like other UK universities, Oxford uses a Full Economic Cost (FEC) recovery model, ensuring that the full costs of research, not only salary, are covered. Funding that only covers salary, or covers it partially (like the Leverhulme fellowships), might be feasible at OII. Please get in touch to discuss—it might mean that you need to apply as a visiting scholar with an affiliation to your home institution.

©OUImages/Jill Walker

Prospective Visitors and Internships

The Oxford Internet Institute welcome applications from academic scholars and PhD students who wish to spend 3-6 months at Oxford. The Academic Visitor programme has restarted and we have a very limited number of places so please contact Luc in advance if you would like to visit and collaborate.

More information on the OII page of the Visitor Programme.