Physics Expert (Condensed Matter / Magnetic Materials)

micro1
Sciences and research
Expert
Remote
Contract

$80 to $160/hIndicative range provided by micro1

Posted on August 2, 2026 · Applications until October 1, 2026

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A remote Physics Expert analyzes magnetic structures, classifies magnetic space groups, and curates datasets to help train advanced AI models. Candidates need an advanced academic background in condensed matter physics and hands on experience with magnetic space group classification and neutron scattering.

Description in English, as published by micro1.

Role Title: Physics Expert (Condensed Matter / Magnetic Materials)

Role Type: Contractor

Location: Remote

micro1 is engaging Physics Experts (Condensed Matter / Magnetic Materials) to contribute to a leading-edge research opportunity focused on magnetic space groups, neutron scattering, BNS notation, and the physical signatures of magnetic order. 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

  • Analyze and interpret magnetic structure factors, utilizing propagation-vector methodologies and advanced symmetry concepts in condensed matter physics.
  • Identify and classify magnetic phases (AFM, FM, and related types) using both theoretical and experimental data, including neutron diffraction results.
  • Curate and validate magnetic space group assignments with reference to established datasets such as MAGNDATA, ensuring robust correlation with BNS notation conventions.
  • Evaluate birefringence and magneto-optic Kerr effect (MOKE) signatures for selected materials, connecting optical phenomena to underlying magnetic structure.

Preferred Qualifications

  • Advanced academic background (PhD or equivalent research experience) in condensed matter physics, with a specialization in magnetism or related fields.
  • Demonstrated proficiency in magnetic structure factor calculations, propagation-vector analysis, and symmetry-based phase identification.
  • Direct experience classifying magnetic space groups, with hands-on familiarity with MAGNDATA and BNS notation.
  • Strong knowledge of neutron scattering techniques for magnetic structure determination.
  • Ability to connect experimental signatures (e.g., birefringence, MOKE) to underlying physical mechanisms.

Required skills

  • Physics
  • magnetic structure factor calculations
  • propagation-vector analysis
  • magnetic space group identification (MAGNDATA)
  • AFM/FM phase classification

10 openings

About micro1

micro1 is an AI data lab that hires remote experts to train and evaluate models. The original posting is on their site.

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