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

CENTRALE LYON · Job · via Arbeitnow

Type
Job
Organization
CENTRALE LYON
Location
Ecully, Auvergne-Rhône-Alpes, France
Deadline
Rolling or not stated
Who can apply
On-site in Ecully, Auvergne-Rhône-Alpes, France
Posted
25 September 2026
Skills mentioned
Machine learning, PyTorch

Apply — via Arbeitnow

About this Opportunity

The question Generating one image with a diffusion model means evaluating a large neural network tens to hundreds of times. That repetition is where the energy goes, and it is part of why data-centre demand is now visible at grid scale: the Lawrence Berkeley National Laboratory puts US data-centre electricity use at 176 TWh in 2023, 4.4 % of national consumption, a figure that more than doubled since 2017 largely because of AI servers, and projects 325–580 TWh by 2028.

Eligibility

  • INL provides device expertise, measured characteristics and modelling infrastructure.
  • The decisive criterion is the ability to make the mathematics and hardware inform one another, producing predictions that are quantitative, testable and

Documents you may need

  • Updated CV / Resume
  • Cover Letter (tailored to this role)

How to apply

  1. Click the "Apply — via Arbeitnow" button to go to the source page.
  2. Read the full description and confirm you meet the requirements.
  3. Prepare your CV and cover letter tailored to this role.
  4. Submit your application through the official portal.
  5. Follow up within 1–2 weeks if you do not hear back.

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