Is the Job related to staff position within a Research Infrastructure?: No Offer Description 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. Where to apply E-mail: 2026_07_06_IETR_PILLEMENT_RIGOLETTO_POSTDOC1@emploi.beetween.com Requirements Research Field: Computer science Education Level: PhD or equivalent Skills/Qualifications Diplôme : PhD in computer science or computer engineering A complete CV asserting achievements and a motivation letter highlighting the insertion project of the candidate Compétences et qualifications requises : 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 Team spirit Rigor Languages: ENGLISH Level: Good Research Field: Computer science Years of Research Experience: 1 - 4 Additional Information Benefits An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles (Centrale Nantes, École des Beaux-arts Nantes Saint-Nazaire, Ecole Nationale Supérieure d'Architecture de Nantes). Commitment to professional equality, diversity and inclusion and addressing gender-based and sexual violence Membership in the EUniWell European Alliance committed to wellness Certified HR Excellence in Research since 2022 as part of the HRS4R strategy Transport subscription up to 75 % supported Sustainable mobility package, in line with the institution’s commitment to sustainable development Access to university restaurants with a preferential rate Access to sports, university libraries and other activities on campus Selection process date limite de réception des candidatures : 11/09/2027 date du comité de sélection / de la commission de recrutement : 21/09/2026 composition du comité de sélection : O. Pasquier, B. Deveautour, S. Pillement date de prise de fonctions souhaitée : 04/01/2027 Website for additional job details: https://www.ietr.fr/en/asicarchitecture-systems-infrastructure-and-electronics-team Work Location(s) Number of offers available: 1 Company/Institute: IETR UMR6164 site Polytech Nantes Country: France City: Nantes Postal Code: 44300 Street: site Polytech Nantes Contact State/Province: FRANCE City: NANTES Website: https://www.univ-nantes.fr/ Street: rue C. Pauc Postal Code: 44300

Is the Job related to staff position within a Research Infrastructure?: No Offer Description 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. Where to apply E-mail: 2026_07_06_IETR_PILLEMENT_RIGOLETTO_POSTDOC1@emploi.beetween.com Requirements Research Field: Computer science Education Level: PhD or equivalent Skills/Qualifications Diplôme : PhD in computer science or computer engineering A complete CV asserting achievements and a motivation letter highlighting the insertion project of the candidate Compétences et qualifications requises : 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 Team spirit Rigor Languages: ENGLISH Level: Good Research Field: Computer science Years of Research Experience: 1 - 4 Additional Information Benefits An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles (Centrale Nantes, École des Beaux-arts Nantes Saint-Nazaire, Ecole Nationale Supérieure d'Architecture de Nantes). Commitment to professional equality, diversity and inclusion and addressing gender-based and sexual violence Membership in the EUniWell European Alliance committed to wellness Certified HR Excellence in Research since 2022 as part of the HRS4R strategy Transport subscription up to 75 % supported Sustainable mobility package, in line with the institution’s commitment to sustainable development Access to university restaurants with a preferential rate Access to sports, university libraries and other activities on campus Selection process date limite de réception des candidatures : 11/09/2027 date du comité de sélection / de la commission de recrutement : 21/09/2026 composition du comité de sélection : O. Pasquier, B. Deveautour, S. Pillement date de prise de fonctions souhaitée : 04/01/2027 Website for additional job details: https://www.ietr.fr/en/asicarchitecture-systems-infrastructure-and-electronics-team Work Location(s) Number of offers available: 1 Company/Institute: IETR UMR6164 site Polytech Nantes Country: France City: Nantes Postal Code: 44300 Street: site Polytech Nantes Contact State/Province: FRANCE City: NANTES Website: https://www.univ-nantes.fr/ Street: rue C. Pauc Postal Code: 44300