Principal Research Scientist (Computer Science / Computational Physics)

• Identify, frame, and articulate foundational open problems, theoretical bounds, or simulation challenges where verifiable progress can be demonstrated.
• Guide AI models and agents in multi-step research processes—ranging from proofs and algorithms to numerical experiments and high-performance simulations.
• Critically assess and validate results, utilizing proof checks, computational reproduction, and formal methods to pinpoint the limits of model-generated reasoning.
• Evaluate and document the novelty, correctness, and significance of research outputs relative to current literature and established results.
• Produce clear, concise research memos detailing research attempts, partial solutions, and observed model limitations or failure patterns.
• Advise on research directions, recommending promising subfields and open problems suitable for advancement via AI models and computational tools.

• No prior experience in AI is required — your domain knowledge is what matters.

• Recognition at the field level—such as major prizes, society fellowships, or plenary/invited talks at top scholarly events.
• A consistent publication record in leading venues within your domain, with recent results published in the past year.
• Demonstrated success resolving named open problems or introducing influential concepts adopted by peers.
• Deep, hands-on experience with computational research methods: simulation, numerical analysis, algorithmic implementation, and/or high-performance computing environments.
• Proven ability to rigorously examine technical work outside your immediate area of expertise.
• Experience on program committees, editorial boards, or with formal research tools (e.g., Lean, Coq, SAT/SMT solvers) is a strong plus, as is a public record of outlining open problems or showcasing research with advanced AI systems.

Project and contracting process: the hiring partner. Applications continue on the provider's website.