Senior Research Scientist: Data Science and Machine Learning AIP

Location: Great Baddow, UK • Hybrid working: 2 days onsite per week
Requisition ID: 121740 • Grade: GG11 • Referral Bonus: £5,000

BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work across 10 countries to collect, connect and understand complex data, enabling governments, armed forces and commercial businesses to unlock digital advantage in demanding environments.

BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing with excellent programming skills in Python and extensive experience with libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specializing in developing novel inference algorithms and applying AI/ML to sequential (time-series) data and decision making. The role offers the opportunity to work on AI/ML research topics for customers across space, defence, security and commercial sectors, as well as internal BAE Systems programmes, with opportunities to collaborate with Academic partners and grow technical research areas of interest.

The Data and Decision Support Capability has teams working across AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep learning, LLMs, knowledge graphs, NLP, graph ML and more. You will have the opportunity to work with colleagues in multi-disciplinary teams.

• Lead technical delivery of projects, lead junior researchers. Prepare and deliver technical reports, technical proposals and supporting material
• Lead novel research in given topic areas; collaborate with internal or external partners and/or UK universities
• Develop prototypes and proof of concept demonstrators
• Take ownership of tasks in projects and deliver to challenging standards
• Work effectively on self-directed projects and as part of a project team
• Present results to technical and non-technical audiences
• Mentor junior staff working on related research topics
• Publish and/or patent novel concepts and research findings where appropriate

• PhD or equivalent industry experience in a relevant discipline
• Several years of expertise in applying AI/ML and/or statistical signal processing to sequential (sensor time-series) data and decision-making post-PhD
• Experience in software development for proof of concept in Python
• Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc.

Of particular interest are candidates with experience in one or more of the following domains:

• RF communications and CEMA
• Electronic or Electromagnetic Warfare (EW)
• Tracking and sensor data fusion
• Radar signal processing
• Acoustic data processing (including sonar)
• Distributed sensing and processing
• Autonomy
• Human machine teaming
• Space-domain Awareness (SDA)
• Positioning, navigation, and timing
• Pattern of life analytics

This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and encourage inclusive recruitment. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please note that many roles require security and export control checks, including Baseline Personnel Security Standard and possibly higher levels of National Security Vetting depending on the role.

Division overview: Capabilities. At BAE Systems Digital Intelligence, Capabilities is the engine that keeps the business moving forward and encompasses Engineering, Consulting and Project Management teams that design and implement defence solutions and digital transformation projects.

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