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You will be updated with latest job alerts via emailThe AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world.
Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications including the potential of AI to assist with the development of chemical and biological weapons how it can be used to carry out cyberattacks enable crimes such as fraud and the possibility of loss of control.
The risks from AI are not scifi they are urgent. By combining the agility of a tech startup with the expertise and missiondriven focus of government were building a unique and innovative organisation to prevent AIs harms from impeding its potential.
Strategic Awareness
Werefocused on keeping AISI and broader government abreast of the developments at the frontier of AI with a focus on enabling appropriate preparedness for AGI and other advanced AI systems. To achievethiswereperforming scenariobased foresight work and tracking of key developments. We couple technical research with communications activities to engage government decision makers on key developments.
Role Summary
As Research Lead you will play acrucialrole indriving the research work of the Strategic Awareness team. You willbe responsible fordriving research that foresees and tracks possible trajectories towards AGI and their impacts. Depending on your skills and interests you may build a team to advance key lines of research. You will be collaborating with team members that specialise in communicating findings to key government decision makers.
This role involves standing up research to foresee and track AI developments. This may involve identifying key scenarios for capability advances and impacts of AI systems. This may also involve tracking key developments and impacts in realtime to keep policymakers abreast of the latest developments. You will be able to draw on AISIs worldleading model evaluations capability.
Person Specification
The ideal candidate willdemonstrateexceptional technical insight into Frontier AI systems and their potential impacts. They will have clear evidence of being able to lead research that is impactful and actionable. They will have strong written and verbal communication skillswith a proventrackrecordof producing clear compelling technical content for diverse audiences.
Particular areas of expertise may include Frontier AI model training the AI supply chain and key risks associated with AI systems. Particularly relevant types of research experience include foresight data science or machine learning research.
Required Experience
We select candidates based on skills and experience in the following areas:
Desired Experience
You may be a good fit if you have some of the following skills experience and attitudes:
Salary & Benefits
We are hiring individuals at all ranges of seniority and experience within this research unit and this advert allows you to apply for any of the roles within this range. Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below salariescompriseof a base salary technical allowance plusadditionalbenefitsas detailed on this page.
This role sits outside of theDDaTpay framework given the scope of this role requires in depth technicalexpertisein frontier AI safetyrobustnessand advanced AI architectures.
There are a range of pension options available which can be found through the Civil Service website.
Selection Process
In accordance withtheCivil Service Commissionrules the following listcontainsall selectioncriteria for the interview process.
This post requires Security Clearance (SC) which requires at least 2 years of UK residency and a willingness to undergo Developed Vetting (DV) if required. More detail on clearance eligibility can be found onthe UK Government website.
National security vetting: clearance levels
The Internal Fraud function of the Fraud Error Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed or who would have been dismissed had they not resigned for internal fraud. In instances such as this civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way the policy is ensured and the repetition of internal fraud is prevented. For more information please see Internal Fraud Register.
We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).
Full Time