Postdoctoral Researcher, AI Verification, Separation Logic in Lean

Job in Greater London, London, Greater London, W1B, England, UK

Listing for: Meta

Full Time position
Listed on 2026-06-07

Job specializations:

Research/Development
Data Scientist, Research Scientist

Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR

Location: Greater London

Summary

Meta is seeking a Postdoctoral Researcher to advance research in program verification. In this role, you will conduct original research focused on embedding Separation Logic into the Lean proof assistant. You will collaborate with research scientists and engineers to publish high-impact work, develop prototype systems, and contribute to the broader scientific community while helping shape the direction of verification by and for AI.

Responsibilities

Conduct original research on program verification, with emphasis on use of AI to discover proofs automatically.

Work on embedding Separation Logic into the Lean proof assistant.

Collaborate with or build on ongoing community efforts such as CSLib and Iris‑Lean.

Automate proofs of programs from leading research papers and textbooks, especially for concurrent programs. Investigate proof discovery beyond the leading edge.

Develop evaluations and datasets to measure the effectiveness of proof methods.

Collaborate with research scientists and engineers on problems related to data for machine learning algorithms and guardrails for AI agents.

Author and co‑author research papers for submission to peer‑reviewed conferences and journals.

Collaborate with Meta researchers and engineers on internal verification problems relevant to Meta.

Participate in research community programs, seminars, and collaborative initiatives that strengthen the scientific culture of the team.

Minimum Qualifications

Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related field.

Experience with Lean and/or Separation Logic.

Experience communicating research findings through written publications, technical reports, or presentations at academic or industry venues.

Preferred Qualifications

Publication record at peer‑reviewed AI or Verification/PL venues.

Experience writing research‑quality code, including reproducible experiment pipelines and analysis frameworks.

Experience building AI agents, ML models and benchmarks.

Industry: Internet

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