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Physics Expert (Professor / Principal Investigator)

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieSenior
Dodano
Dodano1 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

micro1 is seeking established Physics Experts, such as Professors or Principal Investigators, to provide high-level domain guidance for an impactful project. In this fully remote role, you will apply your deep academic expertise to help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input.

Key responsibilities

  • Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  • Compare alternative approaches to complex problems, detailing which is superior under specific assumptions and regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work.
  • Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and scientific rigor.
  • Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.

Requirements

  • PhD in physics with demonstrated expertise and significant scholarly impact in your specified subfield.
  • Current or former Associate Professor, Full Professor, or Principal Investigator with a track record of independent research leadership.
  • Ongoing research activity in areas such as High Energy Physics, Mathematical Physics, Quantum Information, or Astrophysics.
  • Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter.

What we offer

  • The opportunity to influence the development of advanced AI systems using your specialized domain knowledge.
  • A fully remote working environment that respects your expertise and academic background.
  • Engagement in high-level intellectual challenges that bridge the gap between theoretical physics and machine learning.

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