Postdoc: Quantum Materials Modeling for Devices

Sandia National Laboratories; Albuquerque (NM); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Flexible work arrangements

Relocation assistance

Competitive benefits

Job summary

Sandia National Laboratories in Albuquerque, NM, invites applications for Postdoctoral Appointees to advance materials modelling, machine learning, and quantum simulations aimed at optical defects for quantum systems. You will work with a multidisciplinary team on high-throughput calculations and quantum protocol development.

Candidates should have a PhD and a strong publication record; collaboration across theory and experiment is common, and we encourage applicants from diverse backgrounds.

Qualifications

• PhD in Physics, Materials Science, Chemistry, CS, Electrical Engineering, Mathematics, or related field; PhD must be conferred within five years prior to employment.
• Record of research demonstrated by publications or high-impact deliverables.

Responsibilities

• Develop and apply materials modelling, ML, or quantum simulation techniques for optical defects.
• Perform high-throughput first-principles calculations for charged defects and input into graph neural networks.
• Collaborate with a team using diverse theoretical and experimental methods.

Skills

Solid-state physics

Materials modelling

Machine learning

Quantum simulation

Scientific programming

Education

PhD in Physics/Materials Science/Chemistry/CS/EE/Math or related

Tools

Density Functional Theory

Molecular Dynamics

Machine Learning

Quantum Embedding Theory

Quantum Simulation Algorithms

Job description

Sandia National Laboratories in Albuquerque, NM, invites applications for Postdoctoral Appointees to advance materials modelling, machine learning, and quantum simulations aimed at optical defects for quantum systems. You will work with a multidisciplinary team on high-throughput calculations and quantum protocol development.

Candidates should have a PhD and a strong publication record; collaboration across theory and experiment is common, and we encourage applicants from diverse backgrounds.