Physics Expert (Condensed Matter / Magnetic Materials)

Micro1; India; Remote; INR 1,653,000 - 3,306,000; Part time

Benefits offered by this job

Remote work

Job summary

Cashback24x7 is seeking a Physics Expert (Condensed Matter / Magnetic Materials) on a remote contractor basis to contribute to a cutting-edge research initiative. You will analyze magnetic structures, classify phases, and validate group assignments using established datasets, while connecting experimental optical signatures to fundamental magnetic mechanisms.

The role emphasizes domain knowledge in condensed matter physics and magnetism, with access to high-level data and collaboration on

Qualifications

• PhD or equivalent research experience in condensed matter physics with magnetism specialization.
• Proficiency in magnetic structure factor calculations and propagation-vector analysis.
• Experience classifying magnetic space groups with MAGNDATA and BNS notation.
• Strong knowledge of neutron scattering for magnetic structure determination.
• Ability to connect optical signatures (birefringence, MOKE) to magnetic structure.

Responsibilities

• Analyze magnetic structure factors using propagation-vector methodologies and symmetry concepts.
• Identify and classify magnetic phases (AFM, FM) from theoretical and neutron data.
• Curate and validate magnetic space group assignments with MAGNDATA and BNS conventions.
• Evaluate birefringence and MOKE signatures and connect to underlying magnetic structure.

Skills

Magnetic structure factor calculations

Propagation-vector analysis

Symmetry-based phase identification

Neutron scattering

BNS notation

MAGNDATA

MOKE

Birefringence

Magnetic space groups

Education

PhD in condensed matter physics

Job description

Job Description

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

Role Type: Contractor

Location: Remotemicro1 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.