Graduate Particle Physics AI Benchmark Designer

Mercor

Paris

Sur place

EUR 55 000 - 83 000

Temps partiel

14 jours+
Générateur de candidature

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Résumé du poste

Mercor is seeking a Particle & Nuclear Physics Expert to join a project building a large-scale benchmark to test AI systems on challenging scientific tasks in Paris. You will design graduate-level problems using real scientific software, run simulations, interpret results, and design experiments to reveal AI capabilities.

You’ll work with scikit-hep and related HEP Python tools, crafting problem setups, validators, and testing loops.

Qualifications

  • Graduate-level training in a STEM field (MS/PhD or equivalent).
  • Proven proficiency with scientific software libraries, publications, or open-source work.
  • Strong Python skills for problem setups, oracle functions, and validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfort with Linux/terminal environments and remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Responsabilités

  • Design original graduate-level problems using real scientific workflows.
  • Run simulations, interpret results, and design experiments.
  • Test problems against state-of-the-art AI models and refine difficulty.
  • Collaborate on domains and tools in Particle & Nuclear Physics.

Connaissances

Python programming
Independent work
Problem design thinking
Graduate-level STEM training

Formation

MS or PhD in a relevant STEM field

Outils

scikit-hep
HEP Python tools
Monte Carlo methods
Collider phenomenology
Linux/Unix environments

Description du poste

Mercor is seeking a Particle & Nuclear Physics Expert to join a project building a large-scale benchmark to test AI systems on challenging scientific tasks in Paris. You will design graduate-level problems using real scientific software, run simulations, interpret results, and design experiments to reveal AI capabilities.

You’ll work with scikit-hep and related HEP Python tools, crafting problem setups, validators, and testing loops.

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