BAE Systems
AI

Senior Research Scientist: Data Science and Machine Learning AIP

BAE Systems · Great Baddow, ENG, GB

Actively hiring Posted 10 days ago

Role overview

At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector.

As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

What you'll work on

Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material

Lead 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

Undertake mentoring of junior staff working on similar research topics

Patent and/or publish (e.g. in academic conference and journal articles) novel concepts and research findings, where appropriate.

What we're looking for

  • PhD or equivalent industry experience in a relevant discipline
  • Several years of expertise 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: 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

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