ECM Selection Limited
Senior ML Researcher
Job Location
Farringdon, United Kingdom
Job Description
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, 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:
* 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 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
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27278) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate
Location: Farringdon, GB
Posted Date: 11/25/2024
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:
* 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 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
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27278) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate
Location: Farringdon, GB
Posted Date: 11/25/2024
Contact Information
Contact | Human Resources ECM Selection Limited |
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