Postdoctoral Research Associate
Core
Developing mathematical, statistical, and computational foundations to evaluate, price, monitor, and mitigate risks arising from AI systems, including generative and agentic AI.
Role type
Postdoctoral Research Associate (AI Risk & Insurance)
Builds
Tools and theory for AI-related risk measurement, uncertainty quantification, and insurance frameworks
Domain
Financial mathematics, stochastic analysis, machine learning, AI safety, quantitative risk
Deliverable
production ML models | research
Required skills
risk measures, systemic risk, conformal prediction, uncertainty quantification, stochastic and Bayesian optimisation, reinforcement learning, AI security, red-teaming, jailbreak evaluation
Preferred skills
expertise in at least one relevant research area, interest in AI assurance and risk management
Technologies
simulations, benchmarks, evaluation tools
Responsibilities
Conduct high-quality research on AI risk and algorithmic assurance; Develop methods for evaluating and pricing AI-related risks; Build reproducible research code and evaluation tools; Publish research in leading peer-reviewed journals and conferences; Collaborate with academic and industry partners; Support project activities including workshops and grant development
Seniority
Postdoctoral, hands-on IC
