Job Description

Are you a highly motivated researcher with a strong mathematical background in distributed optimization and machine learning? Do you want to develop novel distributed learning algorithms for multi-agent wireless networks that address key challenges such as privacy, resource constraints, and adversarial robustness? If so, we invite you to apply for a two-year postdoctoral position at the Department of Information and Communications Engineering (DICE), Aalto University, Helsinki, Finland.

The position is part of the project PLEDGE: Personalized Online Learning on the Edge in IoT/CPS, funded by the Research Council of Finland (2023-2027

About the Project:

The PLEDGE project develops theoretical foundations and algorithms for distributed and federated learning in large-scale, multi-agent networks, such as the internet of things (IoT) and cyber-physical systems (CPS). These systems require scalable and efficient learning methods that can function under limited communication, computation, and energy constraints while ensuring privacy and security from adversarial manipulation. The project focuses on decentralized optimization techniques that can accommodate heterogeneous and intermittent data availability, addressing challenges such as asynchronous updates, Byzantine resilience, and privacy-aware learning mechanisms, including differential privacy and secure aggregation.

The research focuses on theoretical advancements, emphasizing algorithmic analysis, convergence guarantees, and mathematical models for distributed learning. While the primary focus is on developing rigorous optimization frameworks, methods will also be applied to real-world scenarios relevant to IoT and wireless networks. The project involves international collaboration with leading institutions, offering opportunities for research visits and joint projects.

For more information and application submission, follow the provided link.

Follow @eurasip