Resilient neural networks for safety critical applications . Ref. 110/26/IR (Torino)

Resilient neural networks for safety critical applications . Ref. 110/26/IR (Torino)

24 ott
|
Italian Ministry of Education, University and Research
|
Torino

24 ott

Italian Ministry of Education, University and Research

Torino

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 2026 - 15:00 (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

Offer Description

The 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 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 (Torino)
🏢 Italian Ministry of Education, University and Research
📍 Torino

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Ricevi via email le nuove offerte di lavoro per: resilient neural networks for safety critical applications . ref. 110/26/ir (torino) / torino