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JOB OPPORTUNITIES: WE HAVE 2 POSITIONS OPEN
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AI4AO Project
AI4AO Project
The AI4AO project aims to enhance adaptive optics by integrating advanced artificial intelligence to create more sensitive, robust, and autonomous systems. Through hardware–software co-design of wavefront sensors, AI-based phase reconstruction, and predictive control, the project seeks to overcome current AO limitations and enable high-resolution imaging for astronomy and space surveillance. Its outcomes will support next-generation facilities such as the ELT and the PROVIDENCE platform.
WP1 - Pushing Neural-Network Performance for Next-Generation Adaptive Optics Control
WP1 - Pushing Neural-Network Performance for Next-Generation Adaptive Optics Control
We will develop advanced AI controllers for AO, data-fusion, and predictive world-model approaches.
WP2 — Co-Design and Wavefront-Sensor Optimization
WP2 — Co-Design and Wavefront-Sensor Optimization
We will explore non-linear WFS concepts using deep learning and optical co-design, and assess focal-plane sensing strategies to maximize robustness and sensitivity under severe turbulence.
WP3 - Real-Time Implementation and Hardware Optimization for AO Systems
WP3 - Real-Time Implementation and Hardware Optimization for AO Systems
We will integrate the new AI algorithms into real-time AO pipelines, optimizing computation, latency, and hardware architectures (GPU/FPGA) for operational on-sky use.
WP4 - On-Sky Demonstration of AI-Enhanced Adaptive Optics
WP4 - On-Sky Demonstration of AI-Enhanced Adaptive Optics
We will validate the developed sensing and control strategies on sky using AO4FEELINGS and PAPYRUS, demonstrating performance gains and operational readiness for ELT/PROVIDENCE-class systems.
Questions
Questions
Contact us at benoit.neichel@lam.fr
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