At a Glance
- Tasks: Explore AI/ML solutions for RF problems using cutting-edge techniques like GNNs and reinforcement learning.
- Company: Join a collaborative research team focused on innovative defence applications in Radar and secure communications.
- Benefits: Enjoy a flexible work environment with remote options and a central London office location.
- Why this job: Work on impactful projects in a supportive, academic culture where your ideas matter.
- Qualifications: PhD or equivalent experience in computer science and advanced statistical methods; strong RF knowledge required.
- Other info: This is a 2-year contract role requiring UK security clearance; must be a UK national.
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.
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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.
Senior ML Researcher employer: ECM Selection (Holdings) Limited
Contact Detail:
ECM Selection (Holdings) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Researcher
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning techniques, especially GNNs, transformers, and reinforcement learning. Being able to discuss these topics intelligently during your interview will demonstrate your expertise and passion for the field.
✨Tip Number 2
Showcase any practical experience you have with RF technologies, particularly in relation to Radar and communications. If you have worked on relevant projects, be prepared to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Highlight your research experience and any publications in academic journals. This will not only show your ability to conduct high-quality research but also your commitment to contributing to the academic community.
✨Tip Number 4
Since this role requires UK security clearance, ensure that you meet the eligibility criteria as a UK national. Be ready to discuss your background and any relevant experiences that would support your application for clearance.
We think you need these skills to ace Senior ML Researcher
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your PhD or equivalent professional experience in computer science and advanced statistical methods. Detail any practical applications of ML techniques you've worked on, especially those related to RF, Radar, and communications.
Showcase Research Skills: Include examples of high-quality research you have conducted and published in academic journals. This will demonstrate your capability to contribute to the team's experimental projects.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the role. Mention your understanding of modern ML techniques like GNNs, transformers, and reinforcement learning, and how they can be applied to RF data challenges.
Clarify Security Clearance Eligibility: Since this position requires UK security clearance, clearly state your eligibility as a UK national in your application. This is crucial for being considered for the role.
How to prepare for a job interview at ECM Selection (Holdings) Limited
✨Showcase Your ML Expertise
Be prepared to discuss your practical experience with modern ML techniques, especially GNNs, transformers, and reinforcement learning. Highlight specific projects where you've successfully applied these methods to solve real-world problems.
✨Demonstrate RF Knowledge
Since the role focuses on RF applications, make sure to articulate your understanding of RF principles, particularly in relation to Radar and communications. Discuss any relevant projects or research that showcase your expertise in this area.
✨Emphasize Collaborative Skills
This position requires collaboration within a team and with other teams. Share examples of how you've worked effectively in a team setting, especially in research environments, and how you value diverse ideas and perspectives.
✨Prepare for Security Clearance Questions
As this role involves defense-related projects, be ready to discuss your eligibility for UK security clearance. Understand the implications of this requirement and be honest about your status as a UK national.