Postdoc in Quantum Nano-Optics & AI-Driven Metasurfaces

Cnrs Inc; France; On-site; EUR 36,000 - 48,000; Full time

Benefits offered by this job

CALMIP GPU access

LAAS cleanroom access

Mentorship in Q-META ANR project

Job summary

CNRS invites applications for a Postdoctoral Fellow position in quantum nano-optics and AI-driven design at the LAAS-CMI/CEMES collaboration in Toulouse. The role focuses on integrating numerical modeling with experimental validation of metasurfaces and single-photon emitters, advancing deep learning for inverse design, and fostering cross-institution mentorship.

The successful candidate will work half-time at LAAS and half-time at CEMES, with access to state-of-the-art facilities and a vibrant

Qualifications

• PhD in physics, nanophotonics, quantum optics or related field.
• Strong background in at least two areas: numerical modeling, deep learning, or experimental nano-optics.
• Programming skills: Python (PyTorch/TensorFlow), MATLAB or equivalent.
• Publication record demonstrating high-impact research.
• Fluent English (French helpful).

Responsibilities

• Lead integration of numerical and experimental workflows.
• Extend autodiff capable toolkit for quantum emitters with metasurfaces.
• Develop physics-informed neural networks to accelerate simulations.
• Train networks to optimize meta-atom geometries and metasurface responses.
• Characterize metasurfaces with high-precision optics and mentor PhD students.

Skills

Numerical modeling

Deep learning

Experimental nano-optics

Python programming

Education

PhD in physics/nanophotonics/quantum optics

Tools

FDTD

FEM

GDM/CDA

Job description

CNRS invites applications for a Postdoctoral Fellow position in quantum nano-optics and AI-driven design at the LAAS-CMI/CEMES collaboration in Toulouse. The role focuses on integrating numerical modeling with experimental validation of metasurfaces and single-photon emitters, advancing deep learning for inverse design, and fostering cross-institution mentorship.

The successful candidate will work half-time at LAAS and half-time at CEMES, with access to state-of-the-art facilities and a vibrant