PhD Position on Bayesian Machine Learning for Wireless Communication

Updated: about 1 month ago
Deadline: 02 Jun 2022

We are looking for an electrical engineer, computer scientist, statistician or mathematician who is interested in pursuing a PhD on the intersection of Bayesian Machine Learning and Wireless Communications.

The successful candidate will work towards developing and analyzing intelligent autonomous systems (agents) for wireless networks. Such systems will be able to learn from previous experience (data), actively sense their surrounding environment, and quickly adapt to new conditions; with the goal of providing reliable communication services to mobile users, IoT devices, self-driving cars, and other intelligent agents. This will be achieved using tools from active inference and probabilistic (Bayesian) machine learning on the one hand, and communication and information theory on the other. The project entails system development, as well as rigorous theoretical analysis. The ideal candidate should be comfortable with, and willing to develop in, both.

Academic and Research Environment
Eindhoven University of Technology (TU/e) is one of Europe's top technological universities, situated in the heart of one of Europe's largest high-tech innovation ecosystems. Research at TU/e is characterized by a combination of academic excellence and a strong real-world impact. This impact is often obtained via close collaboration with high-tech industries.

The successful candidate will be part of both the Bayesian Intelligent Autonomous Systems (BIAS) lab as well as the Information and Communication Theory (ICT) lab. Both labs are situated within the Signal Processing Systems (SPS) group of the department of Electrical Engineering. The candidate will be jointly supervised by Dr. Wouter Kouw (BIAS Lab) and Dr. Hamdi Joudeh (ICT Lab).


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