Internship in Privacy-Preserving Federated Learning

About the role

This 3‑month internship at the Luxembourg Institute of Science and Technology focuses on research in privacy‑preserving federated learning. You will work on investigating, developing and testing solutions that enhance the security and trustworthiness of federated learning systems.

Key responsibilities

• Investigate and benchmark existing federated learning schemes.
• Develop privacy‑enhancing mechanisms for federated learning.
• Implement robustness and trustworthiness solutions, including defenses against attacks.

Required profile

• BSc or MSc in Computer Science or a related discipline with a focus on cybersecurity.
• Strong programming skills in Python and C++.
• Familiarity with federated learning concepts and potential attacks (e.g., data poisoning, membership inference) is a plus.
• Experience with data preprocessing, especially for healthcare data, is a plus.
• Fluent in English (both written and spoken).

Required skills

• Python
• C++
• Federated Learning

What we offer

• 32 days of paid annual leave plus 11 public holidays.
• Multicultural, inclusive work environment with over 50 nationalities.
• Access to state‑of‑the‑art labs and innovative infrastructure.
• Opportunities to work on responsible research projects with impact on society.