Snabbfakta
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- London
Ansök senast: 2024-11-25
Senior ML Researcher
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, and 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:
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 work 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.
Keywords: AI, ML, RF, EM, GNN, Transformer, Autoencoder, Reinforced Learning, Multi-Modal AI, Sensor Fusion, DRILE, Electronic Protection Measures (EPM), Electronics Support Measures (ESM), Electronic Attack (EA), Python, PyTorch, Radar, Communications
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
Recommend for £250
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