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About the Role

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We are in the heart of the UK government with direct lines to No. 10, and we work with frontier developers and governments globally. We are here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action.

Responsibilities

Lead and contribute to research programs that shape our understanding of how frontier AI systems influence people.
Design and execute rigorous studies.
Publish research visibly.
Help set the research agenda for the team.
Run large-scale studies, including RCTs, AI model evaluations, large scale data analytics, red teaming, and human participatory methods.
Engage with government officials, ministers, regulators, policymakers, frontier lab employees, and the wider research community to advance AI safety.
Lead-author and co-author academic publications, conference papers, preprints, blog posts, and disseminate work via talks and posters.

Requirements

PhD (or equivalent years of research experience) in a relevant field.
Track record of productivity, including publishing rigorous, high-impact research.
Experience designing, planning, conducting or analysing human experiments (ideally online and at scale).
Strong knowledge of advanced statistical modelling methods (e.g. multilevel/hierarchical/mixed effects GLMs).
Knowledge of frontier AI models and how they are trained and evaluated.
Strong coding skills (Python and/or R), including experience using AI coding tools (e.g. Claude Code, Codex, or similar).
Experience working on AI model or system evaluations and other AI safety projects.
Strong verbal and written communication skills.
Demonstrable interest in the human impacts of AI.
Published work related to societal impacts of AI, evaluation of AI systems, multi-agent systems, or relevant work in a related field.
Experience fine-tuning language models.
Experience with reinforcement learning.
Experience with large-scale analysis of multi-turn conversations or chat logs (e.g. using LLM-judges or auto graders).
Front-end software engineering skills to build UI for studies with human participants.
Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed.
Eligibility for counter-terrorist check (CTC) clearance is strongly preferred.

Skills

Computer science
Machine learning
Statistics
AI research
Computational social science
Data science
Natural language processing
Human–computer interaction
Psychology
Cognitive science
Python
R
Claude Code
Codex

Location

London
Birmingham
Cardiff
Darlington
Edinburgh
Salford
Bristol

Work Type

Hybrid working
Occasional remote work

Experience Level

Sub-team lead
Independent contributor

Education Level

PhD or equivalent research experience

Salary/Compensations

Level 3: £65,000–£75,000 (Base £40,850 + Technical Allowance £24,150–£34,150)
Level 4: £85,000–£95,000 (Base £48,540 + Technical Allowance £36,460–£46,460)
Level 5: £105,000–£115,000 (Base £63,165 + Technical Allowance £41,835–£51,835)
Level 6: £125,000–£135,000 (Base £76,475 + Technical Allowance £48,525–£58,525)
Level 7: £145,000 (Base £76,475 + Technical Allowance £68,525)

Benefits

5 days off and annual stipends for learning and development, and funding for conferences and external collaborations.
Pre-release access to multiple frontier models and ample compute.
Extensive operational support.
Work with experts across national security, policy, AI research and adjacent sciences.
Freedom to pursue research bets without product pressure.
Opportunities to publish and collaborate externally.
Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol.
Stipends for work-from-home equipment.
At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering.
Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).
On top of your salary, we contribute 28.97% of your base salary to your pension.
Discounts and benefits for cycling to work, donations and retail/gyms.

About the Company

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action.
We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally.
We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them.
With our resources, unique agility and international influence, this is the best place to shape both AI development and government action.
The Human Influence (HI) team focuses on the ways in which AI can influence or have a decisive negative impact on decisions made by humans or other AI systems.
A substantial class of AI risk operates through social influence on people or other AI agents.
AI systems can persuade others to change their beliefs and to take action; can build trusting relationships with people in order to exploit them; can extract private information from them; and can hold delegated ownership of high-stakes decisions.
These can play out in both human-AI and multi-agent AI contexts.
Our work is highly interdisciplinary, drawing on methods from computational social science, AI safety and security, cognitive and behavioural science, machine learning, and data science.
Typical projects include running rigorous human-AI interaction studies and randomised controlled trials, building evaluations and benchmarks that track AI capabilities across model releases, eliciting model capabilities through fine-tuning and self-play, and developing datasets to monitor real-world risk exposure and severity.

Equal Opportunity

We may be able to offer roles to applicants from any nationality or background.
The Civil Service Code sets out the standards of behaviour expected of civil servants.
The Civil Service embraces diversity and promotes equal opportunities.
As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
The Civil Service is committed to attract, retain and invest in talent wherever it is found.
As part of the application process, we monitor statistics on D&I.