Research Fellow in Generative Semantic and Token Communication Technologies in London

The University of Surrey is a global community of ideas and people, dedicated to life‑changing education and research. We are ambitious and have a bold vision of what we want to achieve – shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The Institute for Communication Systems (ICS), home of the 6G Innovation Centre (6GIC), is looking to recruit a full‑time Research Fellow to work on Generative and Token‑based Semantic Communication Technologies for Future Wireless Networks (this is a fixed‑term contract up to Sept 2027). For this opening, the successful candidate will be required to have research experience in wireless communication systems as well as familiarity with the design and training of state‑of‑the‑art large generative AI models, e.g. Diffusion Models, Multimodal Large Language Models, etc. The area of specialization for this post is Generative Semantic and Token Communication Technologies for Future Wireless Networks.

ICS is the largest academic research institute in Europe specialising in all aspects of information and communication technologies. It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best‑in‑class large‑scale testbeds for research and innovation and enjoys state‑of‑the‑art lab and computing facilities. Established in 2012, 5GIC is the world’s first dedicated centre in researching end‑to‑end aspects of 5G and works closely with national and international leading academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+.

Applicants should have a good honours PhD degree in wireless communications or AI and computer vision fields and a strong track record of publications. Preference will be given to those with prior publications either in top‑tier AI and Computer Vision venues (e.g., NeurIPS, ICML, ICLR, CVPR, etc.), or prestigious IEEE journals (e.g., IEEE JSAC, ComST, etc.). Applicants are expected to have good problem‑solving and analytical skills, to be proactive, to engage with other researchers and to be self‑motivated. The successful candidate will, in collaboration with other researchers, specify, design and implement the systems under investigation.