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High-level Model for designing reliable RISC-V architecture for autonomous vehicle

Nantes Universite

  • Nantes
  • CDD
  • 2800 € à 3300 €
  • Publiée il y a 9 jours

Mots-clés de l'annonce

  • Annonce en anglais
  • Python
  • C++
  • Linux
  • Anglais
  • Doctorat

L'offre

The postdoctoral researcher will work on methodologies for evaluating processor reliability and dependability in compliance with automotive industry requirements. The purpose of this work is to define a high level model for the design of reliable architecture supporting autonomous automotive applications requirement. In the Rigoletto project application, we will focus on open-hardware processor based on the RISC-V ISA. The model will be used to define a methodology and tools to explore architecture so as to find a tradeoff between reliability, and performances (speed, area, …). The main applications domain is focused on AI and ML accelerators. The position requires in-depth knowledge of RISC-V architectures and proficiency in modeling tools (such as Gem5) to assess performance, reliability, and energy trade-offs. Skills in system reliability (ECC codes, fault detection, redundancy) and the development of custom tools or scripts (Python, C++) for simulation and test campaign automation are essential. Understanding on AI and ML models will be an asset.

  • System Modeling, general knowledge of computer science and/or engineering

  • Proficiency in C programming is required. Skills in Linux, microcontroller programming, reliability analysis, etc., would be an asset.

  • Good command of English, both spoken and written

  • Project management

  • Autonomy

  • PhD in computer science or computer engineering

  • Team spirit

  • Rigor

Postuler chez Nantes Universite

La candidature se fait sur le site de Nantes Universite. QuiRecrute ne reçoit aucune donnée.