If you are interested in a PhD Thesis, please contact us sending an email to: tsr_prof@ehu.eus  

Open position in the reseach area of ML/AI Aided Wireless Communications:

We bridge the gap between theoretical deep learning and real-world telecom deployments by driving the transition toward realistic, efficient, and explainable AI (XAI) for next-generation wireless networks.

As a PhD candidate, you will work on cutting-edge projects that transform "black-box" models into trustworthy solutions. Our core research tracks include developing interpretable AI architectures, leveraging Generative AI for realistic radio environment synthesis, and utilizing knowledge distillation to compress models for seamless deployment on constrained telecom hardware and edge devices. Together, we design neural networks built to thrive under real-world hardware impairments and imperfect channel conditions.