A 12-month postdoctoral position at École Centrale de Lyon (with the INL lab) on the mathematics of energy-efficient AI: extending convergence theory of diffusion models to hardware-induced errors and co-designing a PCM-based photonic matrix–vector accelerator. Day-to-day work spans stochastic analysis, PyTorch/JAX experiments, and device-level model co-design.
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