Phd Position F/m Reliability and Security of Large

Il y a 7 mois

Rennes, France Inria Temps plein

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat **:CDD**Niveau de diplôme exigé **:Bac + 5 ou équivalent**Fonction **:DoctorantA propos du centre ou de la direction fonctionnelle

The Inria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres and has more than thirty research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.

Mission confiée

This Ph.D. aims to identify hardware and software vulnerabilities in LFM-based systems and propose error mitigation techniques.

Principales activités

The Ph.D. student will characterize the impact of radiation-induced faults and electromagnetic hardware attacks on system reliability and security on GPUs for vision, language processing, and multimodal LFMs. The results will be combined with software simulation data to identify effective hardening solutions. The Ph.D. student will work on developing new fault tolerance approaches tailored for LFMs. Standard fault tolerance techniques may introduce unacceptable overhead. We will conduct a comprehensive fault propagation analysis to propose efficient and effective hardening methods.

The Ph.D. student will participate in international experiments and internships at laboratories like Rutherford Appleton Laboratory in the UK and Los Alamos National Laboratory in the USA. In addition, the student will participate in conferences and international projects. This can help them to develop their research skills and network with other professionals in their field.

Compétences

**Required technical skills**:

- Good knowledge of computer architectures and embedded systems
- Good programming knowledge (C/C++, python)
- Basics of Machine Learning (pytorch/tensorflow)
- Experience in fault tolerant architectures is a plus
- Experience with hardware design is a plus

**Languages**: proficiency in written English and fluency in spoken English is required.

**Other valued appreciated**: Open-mindedness, strong integration skills and team spirit.

Avantages
- 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

Rémunération

monthly gross salary amounting to 2082 euros for the first and second years and 2190 euros for the third year

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