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Physics Expert (High Energy/Mathematical Physics)

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano13 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

micro1 is seeking distinguished Physics Experts, including Professors and Principal Investigators, to provide high-level domain guidance for an impactful project. In this role, you will apply your deep expertise in high-energy or mathematical physics to help train next-generation AI systems, ensuring they learn and reason with the highest level of scientific accuracy.

Key responsibilities

  • Adjudicate and render expert judgment on competing physics arguments, solutions, or interpretations within your specialized subfield.
  • Compare alternative approaches to complex problems, detailing their superiority, underlying assumptions, and specific regimes of validity.
  • Identify and articulate meta-level criteria for evaluating the robustness of physics work, including key assumptions and potential breaking points.
  • Draft rigorous, defensible written evaluations suitable for review by fellow senior physicists.
  • Utilize technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.

Requirements

  • PhD in physics with a demonstrated track record of scholarly impact and independent research leadership.
  • Current or former Associate Professor, Full Professor, or Principal Investigator status.
  • Ongoing research activity involving methods such as AdS/CFT, onshell gravitational action, or tensor-algebra of boundary curvature invariants.
  • Ability to provide 3–5 recent representative publications in your target subfield.
  • Exceptional written communication skills with the ability to articulate nuanced and well-reasoned scientific judgments.

What we offer

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

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