Remote Contractor: Computational Physicist & AI Researcher

Crossing Hurdles; United States; A distancia; CAD 138.000 - 551.000; A tiempo parcial

Descripción de la vacante

Crossing Hurdles is seeking a remote contractor with strong experience in computer science or computational physics to identify foundational open problems and guide AI-assisted research. You will steer multi-step research processes, including proofs and simulations, and critically assess results using formal methods.

Applicants should have a proven publication record and recognition in the field, with deep experience in computational research methods and high-performance computing.

Formación

• Strong relevant experience in computer science or computational physics with scholarly contributions.
• Recognition at the field level, such as major prizes or society fellowships.
• Consistent publication record in leading venues within your domain.
• Demonstrated success resolving open problems or introducing influential concepts.
• Deep experience with computational research methods and high-performance computing.

Responsabilidades

• Identify and articulate foundational open problems and simulation challenges.
• Guide AI models in multi-step research processes, including proofs and simulations.
• Critically assess and validate results using proof checks and formal methods.
• Evaluate and document the novelty and significance of research outputs.
• Produce research memos detailing attempts, solutions, and model limitations.
• Advise on research directions and recommend promising subfields.

Conocimientos

Computational research

High-performance computing

Publications

Research awards

Educación

PhD preferred

Descripción del empleo

Crossing Hurdles is seeking a remote contractor with strong experience in computer science or computational physics to identify foundational open problems and guide AI-assisted research. You will steer multi-step research processes, including proofs and simulations, and critically assess results using formal methods.

Applicants should have a proven publication record and recognition in the field, with deep experience in computational research methods and high-performance computing.