Physics Expert (AMO / Optical Properties of Materials)

About this role

Role Title: Physics Expert (AMO / Optical Properties of Materials)

Role Type: Contractor

Location: Remote

micro1 is engaging Physics Experts (AMO / Optical Properties of Materials) to contribute their advanced knowledge to a specialized customer project focused on atomic and optical properties. 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

• Provide expert insights on atomic, molecular, and optical (AMO) physics, with an emphasis on the optical properties of materials.
• Review, analyze, and discuss ab initio configuration interaction methods for calculating polarizability in atomic systems.
• Offer guidance and critique on atomic-structure calculations, specifically for Yb-171 and Yb-174 isotopes.
• Identify and differentiate between sigma and pi transitions in relevant atomic spectra, explaining underlying physical principles.
• Participate in adaptive, spoken AI interviews, responding to one question at a time and providing clear, concrete examples from legally shareable research or projects.

Preferred Qualifications

• Advanced degree (Ms,PhD or equivalent experience) in Physics, with a focus on AMO physics or optical properties of materials.
• Proven experience with ab initio quantum chemistry calculations, specifically configuration interaction approaches to polarizability.
• Deep understanding of atomic-structure computation techniques, particularly as applied to ytterbium isotopes (Yb-171 and Yb-174).
• Strong capability to identify and explain sigma vs pi transitions in atomic contexts.
• Demonstrated aptitude for clear, structured written and verbal scientific communication.

Key skills

• Physics
• ab initio configuration interaction for polarizability
• atomic-structure calculations for Yb-171 / Yb-174
• sigma vs pi transition identification