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物理专家(博士后/初级教授)

雇主

micro1

地点

远程 · 美国

待遇

$面议

工作模式

远程

截止日期

12月4日

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岗位摘要

Role Title: Physics Expert (Postdoc / Junior professor) Role Type: ContractorLocation: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector.

岗位职责

Role Title: Physics Expert (Postdoc / Junior professor)
Role Type: Contractor
Location: Remote (US, Canada, UK focused)
micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.
Preferred Qualifications
PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
Reliable access to high-speed internet and a computer suitable for rigorous technical work.
Originally posted on Himalayas

申请条件

- PhD in physics with active independent research in a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)
- Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist
- Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links
- Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical verification and analysis
- Ability to critically evaluate physics solutions, mathematical derivations, and theoretical arguments
- Skill in detecting errors, unjustified steps, missing assumptions, dimensional inconsistencies, and logic weaknesses
- Capability to distinguish substantive scientific issues from stylistic matters and provide precise written feedback
- Ability to articulate reasoning behind flaws and offer actionable improvement guidance
- Capacity to recognize optimization opportunities in correct reasoning and suggest clarifications
- Competence in delivering structured feedback for iterative enhancement

雇主简介

micro1 is a technology company that engages domain experts, such as lawyers, to contribute their expertise to train AI systems, focusing on improving model learning and reasoning through high-quality real-world input.

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数据来源:Himalayas

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