Research Fellow in Generative and Token-based Semantic Communication Technologies for Future Wireless Networks

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The role

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 upto Sept 2027).

For this opening, the successful candidate will be required to have research experience in wireless communication systems as well as familiarity with 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 ICT (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 the 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+.

About you

Applicants should have a good honors 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. The successful candidates will be joining a very strong and vibrant research team and will be supported by academic staff working on the programme.

How to apply

Please apply on the University website with your CV and a cover letter. For informal enquiries please contact Dr Mahdi Boloursaz Mashhadi m.boloursazmashhadi@surrey.ac.uk.

Please note the University of Surrey reserves the right to close this vacancy early or extend based on Volume and Calibre of applications.

Further details

Job Description