Quantum Nanophotonics Postdoc: AI-Driven Metasurface Design

EURAXESS Ireland; Toulouse; Hybrid; EUR 42,000 - 54,000; Full time

Job summary

CNRS Laboratoire d'analyse et d'architecture des systèmes in Toulouse invites a postdoctoral researcher to lead the integration of numerical and experimental workflows for quantum metasurfaces. The role focuses on deep learning–driven inverse design, multi-scale optimization, and rigorous validation with state-of-the-art nano-positioning and photoluminescence techniques.

The candidate will develop neural networks, extend autodiff toolkits, and supervise PhD students across the Q-META projects,

Qualifications

• PhD in physics, nanophotonics or a related field.
• Strong background in at least two of: numerical modeling, deep learning for inverse design, experimental nano-optics.
• Fluent English; French a plus but not required.

Responsibilities

• Lead the integration of numerical and experimental workflows.
• Develop physics-informed neural networks to accelerate simulations and inverse design.
• Train multi-objective neural networks for metasurface optimization and transfer learning on experimental data.
• Mentor PhD students and collaborate across CEMES, LAAS and LPCNO.

Skills

Deep learning

Numerical modeling

Quantum optics

Experimentation

Education

PhD in physics or nanophotonics

Tools

FDTD

FEM

GDM/CDA

PyTorch

TensorFlow

MATLAB

Job description

CNRS Laboratoire d'analyse et d'architecture des systèmes in Toulouse invites a postdoctoral researcher to lead the integration of numerical and experimental workflows for quantum metasurfaces. The role focuses on deep learning–driven inverse design, multi-scale optimization, and rigorous validation with state-of-the-art nano-positioning and photoluminescence techniques.

The candidate will develop neural networks, extend autodiff toolkits, and supervise PhD students across the Q-META projects,