Physics Researcher (Remote | $100–$200/hr)

Synthires

India

Remoto

INR 13.336.000 - 26.672.000

Tempo pieno

10 ore fa
Candidati tra i primi
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Descrizione del lavoro

Synthires seeks PhD- or postdoc-level physics experts to train next-generation AI systems. You will tackle advanced physics problems, derive rigorous solutions in LaTeX, and verify results using Python, SymPy, and Jupyter. No prior AI experience is required; physics expertise is the key qualification.

You’ll work remotely with flexible scheduling, approximately 10–15+ hours per week, over an 8–10 week project, contributing to reproducible scientific outcomes and robust documentation.

Competenze

  • PhD in Physics or advanced-stage PhD candidacy with active research experience.
  • Research expertise in at least one advanced physics subfield.
  • Strong mathematical and analytical problem-solving skills.
  • Excellent technical and scientific writing abilities.
  • Proficiency with LaTeX for scientific and mathematical writing.
  • Working proficiency with Python, SymPy, and Jupyter.
  • Ability to independently analyze complex physics problems and produce rigorous solutions.
  • Strong attention to mathematical and physical consistency.

Mansioni

  • Solve advanced physics problems within your research specialization.
  • Produce rigorous derivations and structured solutions using LaTeX.
  • Document assumptions, approximations, reasoning, and final results clearly.
  • Use Python, SymPy, and Jupyter for symbolic and numerical verification.
  • Identify boundary conditions, limiting cases, special cases, and dimensional consistency.
  • Review project materials, identify ambiguities, and provide well-reasoned interpretations.
  • Revise solutions based on reviewer feedback while maintaining technical accuracy.
  • Follow professional scientific documentation and reproducibility standards.

Conoscenze

Mathematical problem solving
Analytical thinking
Scientific writing

Formazione

PhD in Physics or active PhD candidacy

Strumenti

Python
SymPy
Jupyter
LaTeX

Descrizione del lavoro

We are seeking PhD and Postdoctoral-level Physics Experts to support a high-impact project focused on training next-generation AI systems. You’ll solve advanced physics problems, develop rigorous scientific solutions, and help improve AI reasoning across complex scientific concepts.

No prior AI experience is required — your physics expertise is the primary qualification.

Key Responsibilities
  • Solve advanced physics problems within your research specialization.
  • Produce rigorous derivations and structured solutions using LaTeX.
  • Document assumptions, approximations, reasoning, and final results clearly.
  • Use Python, SymPy, and Jupyter for symbolic and numerical verification.
  • Identify boundary conditions, limiting cases, special cases, and dimensional consistency.
  • Review project materials, identify ambiguities, and provide well-reasoned interpretations.
  • Revise solutions based on reviewer feedback while maintaining technical accuracy.
  • Follow professional scientific documentation and reproducibility standards.
Required Qualifications
  • PhD in Physics or advanced-stage PhD candidacy with active research experience.
  • Research expertise in at least one advanced physics subfield.
  • Strong mathematical and analytical problem-solving skills.
  • Excellent technical and scientific writing abilities.
  • Proficiency with LaTeX for scientific and mathematical writing.
  • Working proficiency with Python, SymPy, and Jupyter.
  • Ability to independently analyze complex physics problems and produce rigorous solutions.
  • Strong attention to mathematical and physical consistency.
Preferred Qualifications
  • Active or recent research experience in High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, or Condensed Matter Physics.
  • Strong computational or numerical research experience.
Compensation
  • Competitive compensation of $100–$200/hour.
  • Approximately 10–15+ hours/week.
  • Project duration of approximately 8–10 weeks.
  • Fully remote with a flexible schedule, including evenings or weekends.
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