Privacy-Preserving Federated Learning Internship

About the role

Join the Luxembourg Institute of Science and Technology for a three‑month research internship focused on privacy‑preserving federated learning. You will work alongside experts to explore, develop, and enhance secure federated learning solutions.

Key responsibilities

• Investigate and benchmark state‑of‑the‑art federated learning schemes.
• Develop privacy‑enhancing mechanisms for federated learning frameworks.
• Implement robustness and trustworthiness solutions to protect against attacks.

Required profile

• BSc or MSc in Computer Science or a related field with a focus on cybersecurity.
• Strong programming abilities 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 healthcare data, is a plus.
• Fluent in English, both written and spoken.

Required skills

• Python
• C++

What we offer

• Access to cutting‑edge research infrastructure and labs.
• Multicultural, inclusive work environment with over 50 nationalities.
• Supportive policies promoting gender balance and diversity.
• 32 days of paid annual leave plus 11 public holidays.