Remote AMO Physics Expert (Part-Time, AI Training Insights)

RemoteJobsOne; Dubai; Remote; AED 506,000 - 1,012,000; Part time

Job summary

RemoteJobsOne is seeking a Physics Expert with AMO and optical properties expertise for a fully remote, part-time contractor role. You will provide high-level insights on AMO physics and polarizability, review ab initio calculations, and guide ytterbium isotope analyses to support AI training data.

The position emphasizes clear scientific communication and flexible scheduling (5-10+ hours/week). Prior experience in atomic-structure methods and sigma/pi transitions is preferred.

Qualifications

• Advanced degree in Physics with AMO focus or equivalent.
• Proven experience with ab initio quantum chemistry calculations and CI methods.
• Deep understanding of atomic-structure computation techniques for ytterbium isotopes.
• Ability to identify sigma vs pi transitions in atomic spectra.
• Clear, structured written and verbal scientific communication.

Responsibilities

• Provide expert insights on AMO physics and optical properties of materials.
• Review ab initio methods for polarizability calculations in atomic systems.
• Guide atomic-structure calculations for Yb-171 and Yb-174 isotopes.
• Differentiate sigma and pi transitions in relevant spectra with explanations.
• Participate in spoken AI interviews with concrete, research-based examples.

Skills

AMO physics

Polarizability calculations

Ab initio methods

Atomic-structure calculations

Yb-171 and Yb-174

Scientific communication

Education

PhD in Physics (AMO)

MS in Physics

Job description

RemoteJobsOne is seeking a Physics Expert with AMO and optical properties expertise for a fully remote, part-time contractor role. You will provide high-level insights on AMO physics and polarizability, review ab initio calculations, and guide ytterbium isotope analyses to support AI training data.

The position emphasizes clear scientific communication and flexible scheduling (5-10+ hours/week). Prior experience in atomic-structure methods and sigma/pi transitions is preferred.