Publicidade

Última atualização: 21 de Setembro de 2026

Formal Verification Scientist

(Lean 4 & Mathlib)

🌍 100% Remoto💵 Pagamento em moeda estrangeira✈️ Vaga internacional💬 Inglês

Via Alignerr

Sobre

What You'll Do

  • Translate informal mathematical proofs into clean, structured Lean 4 formalizations with an emphasis on clarity, correctness, and reproducibility
  • Analyze both generic and domain-specific proofs to identify gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test the limits of existing proof assistants — especially in areas where automated tools struggle or fail
  • Collaborate with AI researchers to design, refine, and evaluate strategies for improving formal verification pipelines
  • Decompose complex arguments into well-structured lemmas and proof scripts aligned with mathematical best practices
  • Investigate where automated provers break down and articulate the underlying reasons — missing libraries, complexity barriers, insufficient scaffolding
  • Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics

Who You Are

  • Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
  • Has a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
  • Has hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable proof assistant — Lean strongly preferred
  • Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
  • Able to translate dense, informal arguments into precise, machine-verifiable form with structural clarity

Nice to Have

  • Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
  • Experience contributing to large-scale formalization projects such as Mathlib
  • Exposure to theorem provers where automated reasoning frequently fails or requires significant manual scaffolding
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies

Outras Informações

Selecionamos as principais informações da posição. Para conferir o descritivo completo, clique em "acessar" 


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