Description review
Physics Expert (Condensed Matter / Magnetic Materials)
micro1 · Remote · back to the listing
HR standards
60/100
needs work
Title ↔ description
82/100
solid
Reads as
Unclear
no confident match
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- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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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.
Originally posted on Himalayas
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.
Originally posted on Himalayas