Institute for Communication Systems

Location: Guildford
Salary: £42,149 to £50,296 per annum
Fixed Term
Post Type: Full Time
Closing Date: 23.59 hours BST on Sunday 11 September 2022
Reference: 056522

The Institute for Communication Systems (ICS) home of the 5G/6G Innovation Centre (5G/6GIC) is looking to recruit two 6G Research Fellows in Advanced Wireless Communications.

The successful candidates will join an exciting team undertaking research in advanced Physical Layer algorithms for support of Terabits per second communication, Satellite communications, THz, IoT, that includes but is not limited to: algorithms for Massive MIMO, Wireless AI, Parallel signal processing, UWB, Channel coding and Modulation schemes and diversity schemes.

The focus of the projects the candidate will contribute to is mainly on Physical Layer algorithms for both transmitter and receiver for multi-user communications. The research is carried out using a combination of computer simulations and mathematical analysis for frequencies above 5GHz all the way to TeraHertz and Visible Light.

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+.

Candidates should have:

• Expertise in large-scale MIMO detection and precoding, distributed massive-MIMO architecture and backhaul design, beamforming optimisation and selection
• UWB
• THz Communications
• Expertise in deep learning for wireless modem design including deep learning algorithm development and FPGA implementation
• Expertise in MATLAB, Python (TensorFlow) and C programming for deep learning
• Strong expertise in signal processing for wireless communication systems (especially modulation/waveform design)
• Expertise in large-scale MIMO detection and precoding, distributed massive-MIMO architecture and backhaul design, beamforming optimisation and selection
• Expertise in deep learning for wireless modem design including deep learning algorithm development and FPGA implementation
• Strong expertise in signal processing for wireless communication systems
• Very good understanding of new trends in the field like multiuser Multiple-Input, Multiple-Output (MIMO) systems, beamforming methods, and Non-Orthogonal Multiple Access (NOMA) systems 
• Very good understanding of communications theory
• Recent research experience in the development of advanced physical layer algorithms and systems
• Very good understanding of state-of-the-art detection, interference handling, and channel encoding/decoding methods
• Very good understanding of communications theory
• Strong research and analytical (mathematical) skills
• Proven track record of innovation supported by publications in high ranked journals and conferences
• Very good written and verbal communication skills

Should you wish to apply for this vacancy, please complete the online application and include a copy of your CV.

Further details: Job Description

For more information and to apply online, please download the further details and click on the 'apply online' button above.

In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.