Descripción de la oferta
IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder. This is a fully remote position , open to candidates based in Spain. Pay: $80–$160/hr Role Title: Physics Expert (Condensed Matter / Magnetic Materials) Role Type: Contractor Location: Remote We are 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. #J-18808-Ljbffr
