DoctoratExpired

Secure compilation of AI generated code

EURAXESS hosting organisation · Plusieurs pays européens

This project addresses the risks of AI-generated code, which acts as a stochastic, untrusted compiler that translates natural language intent into often functionally correct but security-agnostic code. This project will study a novel theory of pluggable security patches to harden these AI-generated code against classical vulnerabilities (e.g., memory safety, non-interference) as well as against microarchitectural threats...

At a glance
Where
Multiple European countries
Deadline
2026-09-23
Funding
Funding described on programme page
Board
EURAXESS

Who can apply

Criteria stated by the funder on the official source.

Nationality
EURAXESS vacancies rarely print a nationality table. Confirm whether applicants from Tunisia can apply and whether a residence/work permit pathway exists on the employer page.
Non indiqué
Education
Academic requirements are listed on the EURAXESS vacancy; match your degree level to the stated profile (often R1–R4).
Non indiqué

Funding and what it does not cover

Funding details were taken from the official programme page text. Confirm the current call before applying.