C
CESIRecherche

PhD position H/F - Federated Graph Neural Networks for Intrusion Detection in Industrial IoT Networks

Lingolsheimonsite$12K$19K

Posted 3w ago · via Recruitee

About this role

Abstract Securing industrial IoT infrastructure is no longer a competitive advantage ; it is a prerequisite for resilient, trustworthy, and sustainable Industry 5.0. Keywords : Industry 5.0, Industrial IoT, Intrusion Detection, Federated Learning, GNN The rapid proliferation of Industrial Internet of Things (IIoT) devices in manufacturing, energy, and logistics environments has dramatically expanded the cyber attack surface of critical industrial infrastructure. These interconnected cyber-physical systems, while enabling new data-driven automation and intelligent services, introduce severe security vulnerabilities: a single compromised sensor or gateway can propagate threats across the entire production network.…

Read the full description on CESI's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, pytorch, tensorflow, split

2

Level fit

We check your title trajectory against the seniority signal of the role.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Lingolsheim. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonpytorchtensorflowsplit

More at CESI

See all open jobs at CESI