Research Scientist: Image Analysis Team

Research Scientist

Location:

Great Baddow (Hybrid working)

Grade: GG09 - GG10

Referral Bonus: £5,000

BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a researcher to join our rapidly expanding Data and Decision Support Capability. You should have a background in Machine Learning (ML) and/or statistical signal processing combined with programming skills in Python and experience in the use of libraries and toolboxes to support efficient development.

The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time‑series) data and decision making. The role offers the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as to maintain strong links with academic partners and to grow technical research areas of interest to you.

• Support technical delivery of projects.
• Prepare and deliver technical reports, technical proposals and supporting material.
• Support novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities.
• Develop prototypes and proof of concept demonstrators.
• Take ownership of tasks in projects and deliver to challenging standards.
• Work effectively both on self‑directed projects and as part of a project team.
• Effectively present results to both technical and non‑technical audiences.
• Patent and/or publish (e.g. in academic conference and journal articles) novel concepts and research findings, where appropriate.

• PhD or equivalent industry experience in a relevant discipline.
• Experience in the application of AI/ML and/or statistical signal processing to sequential (e.g. 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:
  Tensor Flow, 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 want to make sure that our recruitment processes are as inclusive as possible.

If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder, etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must, at a minimum, achieve Baseline Personnel Security Standard.

Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.

We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.

By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid…