Explore AI/ML solutions to tough problems in the RF domain
This research team is looking for an experienced engineer or scientist to help them explore the use of modern ML techniques for solving problems in the domain of RF. They work collaboratively within their team as well as with other teams working on similar problems. Their work is highly experimental, and it is understood that not all projects succeed; even failed projects contain valuable insights.
You will be building upon cutting-edge ML techniques such as GNNs, transformers, and reinforcement learning to create novel multi-modal solutions to challenges in processing RF data such as signal detection, recognition, identification, and sensor fusion. The projects will be defence-focused with applications in Radar and secure communications, as well as more offensive capabilities in electronic attack.
Please note, as projects are defence-related, you will need to qualify for UK security clearance to be considered for this role. This means you MUST be a UK national.
Requirements:
PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods
Practical experience applying ML techniques to solve real-world problems
Strong understanding of RF, especially in relation to Radar and communications
Knowledgeable in conducting and publishing high-quality research for academic journals
This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research-heavy nature of projects, the team often works from home and can be in the office as little as one day each week. The office itself is located in central London, very close to major public transport links, making it an easy commute from either within London or the surrounding area. Initially, this is a 2-year contract.
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