Remote Research Scientist — AI & Computational Physics

Crossing Hurdles; New Zealand; Remote; NZD 138.000 - 551.000; Teilzeit

Zusammenfassung

Crossing Hurdles is seeking a contractor in AI research with a strong background in computer science or computational physics to tackle foundational open problems and guide multi-step research processes. The role involves guiding proofs and simulations, and critically validating results using formal methods.

You will evaluate novelty and significance of outputs, produce memos detailing attempts and limitations, and advise on promising subfields. Remote, flexible hours, 10–40 hrs/week.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Strong CS / Computational physics 경험

Scholarly contributions

Publication record

High-performance computing

Jobbeschreibung

Crossing Hurdles is seeking a contractor in AI research with a strong background in computer science or computational physics to tackle foundational open problems and guide multi-step research processes. The role involves guiding proofs and simulations, and critically validating results using formal methods.

You will evaluate novelty and significance of outputs, produce memos detailing attempts and limitations, and advise on promising subfields. Remote, flexible hours, 10–40 hrs/week.