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2026-09808 - PhD Position F/M Dynamic Approximate Computing for Energy-Efficient AI Hardware Accelerators

INRIA Careers · Paris · L1 · hybrid

Compensation not disclosedView original ↗
Summary
Inria is seeking a PhD candidate for AI hardware accelerator research focusing on dynamic approximate computing to improve energy efficiency. Requires HW design, computer architect
Responsibilities
  • Investigate and advance energy-efficient AI accelerators.
  • Dynamically apply approximate computing techniques.
  • Advance hardware-software co-design methodologies.
  • Develop novel approaches balancing performance, energy, and accuracy.
  • Integrate hardware and software perspectives.
  • Model, simulate, and experimentally prototype approaches.
Tools
fpgaasic
Details
Industry
ai
Arrangement
hybrid
Languages
english
Benefits
subsidized mealspublic transport reimbursementgenerous vacationflexible hoursremote