CENTRALE LYON - Postdoctoral Researcher Position Deep Learning for Functional-Oxide Growth Video-to-Spectrum Prediction by RHEED / XRD Fusion
CENTRALE LYON€30.9K – €36.5K/yr
Applying for CENTRALE LYON - Post-Doctoral Position Ferroelectric-Based Ternary Computing: From Circuit Design to System-Level Integration Scientific Context at CENTRALE LYON? Compare this live job with your resume first.
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Role overview
Energy efficiency remains one of the foremost challenges in modern computing, spanning from edge IoT devices to high-performance data centers. Conventional CMOS-based architectures are approaching fundamental physical limits, while the "memory wall" — data transfers between processor and memory accounting for 70 to 90% of total system energy — continues to worsen with the ever-growing demands of data-intensive workloads such as deep neural networks and signal processing pipelines. In-Memory Computing (IMC) has emerged as a disruptive paradigm to overcome these bottlenecks by embedding arithmetic operations directly within memory arrays, drastically reducing data movement. In this landscape, ferroelectric field-effect transistors (FeFETs) stand out as particularly compelling devices: fully compatible with standard CMOS fabrication processes, non-volatile, reconfigurable, and capable of st
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What they are looking for
Qualification
Soft skills: Scientific leadership, ability to coordinate with PhD students and international partners, strong publication record consistent with career stage, and excellent written and oral communication in English
Department · INL - Institut des Nanotechnologies de Lyon
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