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The Department of Information and Communications Engineering is looking for outstanding
Postdoctoral Researchers in the area of Personalized Online Machine Learning for Wireless Networks
Are you an ambitious and talented researcher seeking to push the boundaries of machine learning and wireless communications? Do you want to be part of an innovative team working on cutting-edge projects that have real-world impact? If so, we invite you to apply for our prestigious three-year postdoctoral position at the Department of Information and Communications Engineering (DICE), Aalto University, Helsinki, Finland.
Your role and goals
We are specifically looking for candidates with a deep passion for research and who demonstrate the potential to excel in various cutting-edge research areas related to statistical learning for emerging communications systems. These areas encompass meta-learning for heterogeneous systems, networked federated learning, privacy-preserving machine learning, Byzantine-resilient learning, and robust resource-efficient distributed optimization. As a postdoctoral researcher in PLEDGE, you will lead pioneering research at Aalto University's Department of Information and Communications Engineering. Your primary focus will be developing innovative algorithms and theories for reliable learning in resource-constrained networks with irregular and unstructured streaming data. You will be actively involved in creating decentralized personalized learning solutions in multi-agent wireless networks, such as the internet of things (IoT) and cyber-physical systems (CPS). Your work will be instrumental in advancing the digital transformation of industries and societies, contributing to solutions for various real-world challenges.
Your experience and ambitions
We seek a highly motivated and skilled researcher with a solid background in signal processing, statistical machine learning, optimization, wireless communications, or applied mathematics. Your expertise should be demonstrated through high-quality research publications, including at least one IEEE Transactions paper. Strong mathematical and programming skills, as well as proficiency in English, are essential. Your collaborative and proactive nature and excellent communication skills will be key to successfully contributing to the team. In summary, the ideal candidate has:
Don't miss out on this exciting opportunity – apply now! The best-qualified candidates will be invited for an interview.
For more information about the position and application submission, please visit this page.