Resilient Neural Networks For Safety Critical Applications. Ref. 110/26/Ir (Italia)

Resilient Neural Networks For Safety Critical Applications. Ref. 110/26/Ir (Italia)

25 ott
|
Italian Ministry of Education, University and Research
|
Italia

25 ott

Italian Ministry of Education, University and Research

Italia

Organisation/Company Politecnico di Torino Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 5 Nov *********:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
Il suo CV è pronto?
Se sì, e se è convinto/a che questo sia il ruolo giusto per lei, si candidi il prima possibile.
Offer DescriptionThe goal is to define and implement a macro modeling strategy and a set of synergistic methods to make the implementation of convolutional neural networks for avionics and automotive applications safe xysqume with respect to permanent and transient faults
OTHER
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
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📌 Resilient Neural Networks For Safety Critical Applications. Ref. 110/26/Ir (Italia)
🏢 Italian Ministry of Education, University and Research
📍 Italia

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