Research Scientist ( Physics ) | Remote

Crossing Hurdles; United States; A distancia; CAD 138.000 - 551.000; Jornada completa

Descripción de la vacante

Crossing Hurdles is seeking a remote contractor in Canada to guide AI models through multi-step research, proofs, and simulations. The role offers flexible hours (10-40 hrs/week) with pay between $100 and $400 per hour and allows both part-time and full-time engagement.

The ideal candidate has deep experience in computational science or HPC, a strong publication record, and recognized contributions to the field. You will identify open problems, document attempts, and advise on fruitful subfields.

Formación

• Strong experience in computational science or related field.
• Recognition at the field level (prizes, fellowships).
• Consistent publication record in leading venues.

Responsabilidades

• Identify foundational open problems and simulation challenges.
• Guide AI models in multi-step research processes, including proofs and simulations.
• Critically assess and validate results using formal methods.

Conocimientos

Computational CS

HPC experience

Scholarly contributions

Descripción del empleo

Type: Contractor (flexible, Part-Time or Full-Time)

Compensation: $100 - $400/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• 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.

Requirements

• Have 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.