Publisher
source

GARAH Abdelhamid

Top university

3 days ago

PhD in Quantum Machine Learning for Intrusion Detection in 5G/6G Networks Université Paris-Saclay in France

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Sep 30, 2026

Country flag

Country

France

University

Université Paris-Saclay

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Cybersecurity
Networking
Intrusion Detection
Applied Mathematic
Telecommunications
ML

Suggested positions

About this position

PhD opportunity in Quantum Machine Learning for intrusion detection in 5G/6G traffic at UVSQ, Université Paris-Saclay (DAVID Laboratory, NGN Team), Versailles, France.

This PhD focuses on building a QML-based Intrusion Detection System (QML-IDS) for 3GPP 6G traffic and cloud-native 5G/6G core networks. The research combines Computer Science, Electrical Engineering, Information Technology, Mathematics, Cybersecurity, Machine Learning, and Quantum Machine Learning. The project addresses three main challenges: integrating intrusion detection into the 5G/6G Service-Based Architecture in compliance with 3GPP specifications; implementing and testing the system on the NGN team’s 5G core testbed using tools such as PennyLane, Qiskit, and Cirq; and designing and benchmarking QML detection algorithms for CIoT, eMBB, URLLC, V2X, and future 6G traffic classes.

Eligibility highlights: a Master’s degree in Computer Science obtained in France or another European country, a completed Master’s internship in France or Europe, strong knowledge or experience in 5G/6G networks, a strong academic record, and strong motivation for research and an academic career. Helpful extras include ML for networking/cybersecurity and familiarity with PennyLane, Qiskit, or Cirq.

Application: submit by email only before 2026-09-30. Use the subject line [PhD QML-IDS 6G] and send a single PDF containing the CV, motivation letter, Bachelor’s and Master’s transcripts, academic ranking and cohort size, and recommendation letters.

Funding details

Available

What's required

Applicants must hold a Master's degree in Computer Science obtained in France or another European country, and must have completed a Master's internship in France or Europe. Strong knowledge or experience in 5G/6G networks is required, along with a strong academic record and strong motivation for research and an academic career. Expected knowledge includes computer networks and telecommunications, machine learning/artificial intelligence, programming and software development, applied mathematics, and quantum machine learning. Additional assets include experience with machine learning applied to networking or cybersecurity and familiarity with PennyLane, Qiskit, or Cirq.

How to apply

Apply by email only with the subject line "[PhD QML-IDS 6G]". Send a single PDF containing the CV, motivation letter, transcripts, academic ranking and cohort size, and recommendation letters.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors