CENTRALE LYON - Post-doctoral researcher (12 months) Mathematics of energy-efficient AI: diffusion models on emerging hardware

Company

CENTRALE LYON

Where

Ecully, Auvergne-Rhône-Alpes, France

Level

Junior

First seen

September 29, 2026

Listed via

Recruitee

What the posting says

One open sub-question sets the direction: the distinction between an error redrawn at each evaluation, as in stochastic computing, and an error frozen at write time, as in deterministic quantisation, has been settled in one setting only, and not the one hardware lives in; carrying it over is what this position exists to do. The work is judged on one concrete outcome. For at least one architecture, we want to show that theenergy gain from moving the score evaluation off digital CMOS is real, measured where it survives integration and not extrapolated from a single tile, and that it is paid…

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