Resilient Neural Networks For Safety Critical Applications . Ref. 110/26/Ir
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
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:
#J-***-Ljbffr
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:
#J-***-Ljbffr