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University of Edinburgh

Postdoctoral Research Associate

City of Edinburgh
£41k – £53.4k/yr
Posted 28 days ago
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Postdoctoral Researcher in AI Assurance and Insurance (UKRI-Funded)

School of Mathematics, University of Edinburgh

UE07: £41,064–£53,301 per annum Full-time, 35 hours per week Fixed-term: 2 years Vacancies: 2


About the Position

This role is part of AI²: Assurance and Insurance for Artificial Intelligence, a joint research programme led by universities (Edinburgh, Oxford, Warwick) and industry partner AXA. It explores:

  • Mathematical, statistical, and computational foundations to evaluate, price, monitor, and mitigate risks arising from AI systems, including generative and agentic AI.

Key Objectives

Successful candidates will:

  • Develop methods for rigorous AI risk assessment and insurance pricing
  • Focus on subfields such as:
    • Risk measures, systemic risk, conformal prediction*
    • Uncertainty quantification*
    • Stochastic/Bayesian optimisation, reinforcement learning*
    • AI security, red-teaming and jailbreak evaluation*
  • Contribute to tools for uncertainty quantification, tail-risk pricing, and systemic failure modelling in AI systems
  • Publish research, present findings at conferences, and collaborate with academic and industry partners

About the School & Opportunity

  • The University’s School of Mathematics, globally ranked 18th in Shanghai’s Mathematics Subject Ranking (2023), seeks interdisciplinary researchers
  • Collaborate with AXA and research teams at Oxford, Warwick, and Edinburgh to address theroretical foundations of AI insurance
  • Engage with broader stakeholder communities (insurance/finance, regulatory bodies)

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£35,000/yr

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Key questions the project tackles:

“How should AI risk be quantified? How can model failures be priced? What role does systemic risk play in AI ecosystems?”


Main Responsibilities

Research

  • Conduct high-quality research on AI risk assessment, assurance, and insurance pricing
  • Drive innovation in relevant research areas (see above)
  • Develop reproducible mathematical/computational tools for risk evaluation (e.g., benchmarking, simulation frameworks)
  • Publish in peer-reviewed journals/conferences

Collaboration

  • Work across Edinburgh, Oxford, and Warwick, with regular interaction with AXA partners
  • Actively contribute to project reporting, workshops, and grant development

Impact & Dissemination

  • Present findings in academic, industrial, and public settings
  • Engage with sociopolitical implications of AI assurance and insurance

Requirements & Qualifications

  • Doctorate (or equivalent experience) in mathematics, statistics, computer science, AI, or related discipline
  • Strong research track record demonstrating expertise in at least one relevant area
  • Ability to bridge AI assurance, risk theory, and insurance mathematics
  • Good communication and collaboration skills
  • Strong command of programming (e.g., Python), open-source contributions preferred

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N.B.: Flexible Working

  • Open to considering hybrid/part-time working arrangements

How to Apply

Apply via the University of Edinburgh recruitment portal. Submit:

  • Curriculum Vitae (publications/software repositories included)
  • Supporting statement (addressing selection criteria)
  • Two-page research statement (connecting your work to AI² themes)
  • Two references

Deadline

Sunday 7th July 2026, 11:59 pm UK time


About the University

  • Ranked 3rd in the UK for Mathematical Sciences (by Research Power)
  • Valued Diversity: Athena Swan Silver, Stonewall Proud Employer
  • Leadership roles including:
    • ERC grant holder hosting
    • Lead institutions for the Maxwell Research Institute
  • Competitive salary, benefits (pension, flexible work), and a global research hub

For queries, contact Professor Lukasz Szpruch: L.Szpruch@ed.ac.uk.

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Skills

AI Risk Assessment
Risk Measures
Systemic Risk
Conformal Prediction
Uncertainty Quantification
Stochastic Optimisation
Bayesian Optimisation
Reinforcement Learning
AI Security
Red-teaming
Jailbreak Evaluation
Agentic AI Evaluation
Mathematical Modeling
Statistical Analysis
Computational Methods
Reproducible Research

Location

City of Edinburgh, Scotland, United Kingdom

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