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

Italian Ministry of Education, University and Research; Italy; On-site; EUR 45,000 - 65,000; Full time

Job summary

Politecnico di Torino is seeking a skilled researcher to develop a macro modeling strategy and synergistic methods for safe deployment of convolutional neural networks in avionics and automotive contexts. The role focuses on resilience to permanent and transient faults and involves defining strategies and applying them to complex models.

Applicants will engage with cross-disciplinary teams to advance rigorous fault-tolerant AI research within a leading technical university environment.

Responsibilities

• 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

Job description

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: