Postdoctoral Position in Secure Federated Learning at Umeå University, Sweden
Join the Autonomous Distributed Systems Lab at the Department of Computing Science, Umeå University, Sweden to work on secure federated learning. The lab focuses on addressing challenges in autonomous systems, connected devices, and distributed applications that deal with petabytes of data in diverse resource-constrained environments. Federated machine learning is a collaborative learning solution to handle these problems without sharing data with centralized servers. The project involves developing robust training, model restoration, trustworthy performance, and defense strategies in federated learning algorithms such as robust regularizers and multi-level. The goal is to validate them in various settings, including edge AI infrastructures, the Internet of Things (IoT) and robotic arms. The position is funded by The Knut and Alice Wallenberg Foundation through The Wallenberg AI, Autonomous Systems and Software Program (WASP), a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge. The vision of WASP is to provide excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.
Join the Autonomous Distributed Systems Lab at the Department of Computing Science, Umeå University, Sweden to work on secure federated learning. The lab focuses on addressing challenges in autonomous systems, connected devices, and distributed applications that deal with petabytes of data in diverse resource-constrained environments. Federated machine learning is a collaborative learning solution to handle these problems without sharing data with centralized servers. The project involves developing robust training, model restoration, trustworthy performance, and defense strategies in federated learning algorithms such as robust regularizers and multi-level. The goal is to validate them in various settings, including edge AI infrastructures, the Internet of Things (IoT) and robotic arms. Business travel occurs in both national and international research collaborations and conferences.
The position is funded by The Knut and Alice Wallenberg Foundation through The Wallenberg AI, Autonomous Systems and Software Program (WASP), a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge. The vision of WASP is to provide excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.
Interested candidates should apply through See further details on how to submit your application: