Computer Science/ Artificial Intelligence
Work description
Study and development of federated learning methods that are more robust against communication disruptions, particularly adversarial poisoning attacks that threaten the operation of cyber-physical systems. In this project, we will focus on distributed systems of autonomous underwater vehicles (AUVs) and distributed data collection systems in the ocean.
Academic Qualifications
Master's degree in Computer Science, Artificial Intelligence
Minimum profile required
Knowledge of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning. Excellent academic background.
Preference factors
The candidate's experience will be especially valued in one of the following research lines: Poisoning attacks in federated learning. Experience should be demonstrated by participation in projects in this area and scientific publications. Already enrolled in a PhD programme.
Application Period
Since 05 Jan 2026 to 16 Jan 2026
Centre
Artificial Intelligence and Decision Support