Applied Researcher in Formal Methods for Physics

TL;DR

Applied Researcher in Formal Methods for Physics (Lean4): Building formal verification tools for science and engineering workflows with an accent on Lean4 libraries, proof integrity, and physics-based modeling. Focus on assessing code formalization, curating datasets, conducting benchmarking, and analyzing reasoning flaws.

Location: Primarily based in Barcelona, Spain. Open to remote or hybrid options and relocation support for exceptional candidates.

Company

Building verifiable AI systems that combine deep learning, formal logic, and physics to accelerate semiconductor and photonic hardware development.

What you will do

• Develop and maintain Lean4 libraries for scalability and compatibility with AI pipelines.
• Evaluate Lean4 code for formalization accuracy, proof correctness, and code quality against scientific requirements.
• Curate datasets, run benchmarks, and analyze performance to drive improvements.
• Collaborate closely with Lean experts, mathematicians, physicists, AI researchers, and engineers.

Requirements

• Master’s degree in Mathematics, Physics, Computer Science, AI or related field.
• 1-2 years experience in mathematical, engineering, scientific, or academic settings.
• Strong experience in applied formal methods and automated theorem proving.
• At least 1 year with Lean4.
• Understanding of mathematics and physics; programming skills and software design patterns.
• Strong communication and collaboration in multidisciplinary teams.

Nice to have

• PhD in scientific discipline.
• Python proficiency and good coding practices.
• AI/ML fundamentals; physics or natural sciences background.
• Open-source contributions, especially in Lean4; awards or competition wins.

Culture & Benefits

• Competitive compensation and stock options.
• Flexible work in Barcelona office with remote/hybrid potential.
• Access to cutting-edge tools and collaboration with top experts.
• Professional growth via conferences and research presentations.
• Impact-driven culture tackling AI-hardware challenges.