The TAIG DPhil Studentships equip researchers with the rare combination of deep technical expertise and a grounded understanding of the policy, legal, and societal dimensions of AI governance. This profile is increasingly in demand across academia, industry, government, and civil society, where institutions urgently need people who can bridge technical detail with governance design.
Studentships are available on a fully-funded, full-time basis, but remote and part-time arrangements may be considered for exceptional candidates, ensuring flexibility without compromising research quality.
A uniquely strong ecosystem
Oxford hosts an extraordinary concentration of expertise across engineering, computer science, AI governance, and public policy. The TAIG DPhil Studentships leverage this ecosystem by supporting doctoral researchers in either the Department of Engineering Science or the Department of Computer Science with:
- One technical supervisor from Engineering Science or Computer Science
- One governance, policy, or legal supervisor
- Programme oversight and support from AIGI, with Technical Governance Lead Dr. Fazl Barez, postdocs, and faculty affiliates offering expertise across a diverse range of relevant topics to ensure that projects remain aligned with high-priority governance goals
- Opportunities for collaboration with AIGI’s extensive network across governments, industry, academia, and civil society
Focus on high-impact research
AIGI has conducted a cross-field project prioritisation process to identify the highest-value technical AI governance problems. Incoming DPhil researchers can pursue projects in these key areas, such as:
- Compute infrastructure governance
- Privacy-preserving transparency and auditing
- Model evaluations and benchmarks
- Technical standards development
- Information security and AI system resilience
- Interpretability for model evaluation
Students work within the rich technical environment provided by Oxford’s world-leading research groups, including robotics, machine learning, cyber-physical systems, and hardware infrastructure labs.
A Hub for Technical AI Governance
TAIG is more than a doctoral pathway – it is a centre for a growing field. AIGI is building a vibrant research community, with an expanding technical collective and network of faculty advisors, through:
- Two+ annual technical AI governance conferences each year
- Technical governance postdoctoral positions
- Regular seminars, workshops, and community events
Graduates of the TAIG DPhil Studentships will be well-positioned for leadership roles in academia, industry labs, government, and civil society. Technical researchers with policy fluency are in extremely high demand, and recent graduates with such profiles have been sought after by major AI labs, standards bodies, and regulatory institutions.
World-Class Research Facilities
TAIG researchers have access to Oxford’s exceptional technical infrastructure, including:
- Hardware accelerator clusters, smart power-monitored compute facilities, and advanced networking equipment
- The Oxford Robotics Institute’s self-driving vehicles, space systems, and robotics platforms
- Cyber-physical systems labs, rapid-prototyping facilities, and GPU-accelerated computing clusters such as JADE
- The NVIDIA-recognised GPU Centre of Excellence
- Dedicated compute funding for each TAIG DPhil Student
These facilities allow DPhil researchers to conduct empirical, hardware-level, and systems-focused governance research unavailable in most policy-oriented environments.