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PhD position: Machine Learning for Wireless Networking

Machine Learning for Wireless Networking - PhD position at Universitat Pompeu Fabra (Barcelona, Spain)

Machine Learning for Wireless Networking

Dynamics in Wireless Networks are highly non-stationary. This situation makes the use of many machine learning techniques for network optimization sub-optimal. Nowadays, the most common approach to address non-stationarity is to detect when the statistics of the environment change, and simply re-start the learning process, losing all previous knowledge. This PhD project will focus on new Machine Learning strategies to cope with non-stationary situations by exploring the ability of re-using past knowledge, even if collected under different conditions, and apply it to the future following lifelong learning strategies. We aim to apply those techniques to solve resource allocation problems in next-generation high-density wireless networks.

- Fully funded PhD position (4 years), covering tuition fees, and attendance to selected conferences, summer schools and other related events.
- Mandatory teaching duties: 30-45 hours / year.
- Joint PhD position between Artificial Intelligence/Machine Learning and Wireless Networking groups.

How to apply
Please, send an e-mail to with the following information: motivation letter stating the interest and expertise in the area of the PhD, CV, and master thesis report (or equivalent)

About DTIC / UPF
UPF-DTIC’s PhD program holds the Excellence Award granted by the Spanish National Agency for the Evaluation, Quality and Accreditation, recognizing the quality of results obtained. DTIC got the highest possible score in the Spanish System in “Scientific Performance”.