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PhD Position in Reliability Enhancement of Unconventional AI Accelerators

Il y a 2 mois


Rennes, Bretagne, France INRIA Temps plein
Job Description

At INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable AI accelerators.

Project Overview

The goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on PIM (Processing-In-Memory) and neuromorphic computing architectures. The project aims to identify hardware and software vulnerabilities in these accelerators and propose fault mitigation techniques.

Key Responsibilities
  • Characterize the radiation-induced impact on system reliability for different DNN model architectures
  • Analyze the acceleration effect on the final error rate
  • Develop and implement fault mitigation techniques
  • Participate in international experiments and internships
  • Contribute to the development of the research project
Requirements
  • Strong knowledge of computer architecture
  • HW design: VHDL/Verilog basics, HW synthesis flow
  • Basic programming knowledge (C/C++, python)
  • Basics of Machine Learning
  • Experience with High-Level Synthesis (HLS) is a plus
  • Experience in fault-tolerant architectures is a plus
  • Knowledge of compilers and LLVM is a plus
Working Conditions

The PhD student will work in a research team at INRIA Rennes - Bretagne Atlantique Centre. The team is a major player in the field of digital sciences, and the PhD student will have the opportunity to collaborate with leading researchers worldwide.

Benefits
  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Possibility of teleworking (90 days per year) and flexible organization of working hours
  • Partial payment of insurance costs
Salary

Monthly gross salary amounting to 2100 euros for the first and second years and 2200 euros for the third year