Senior Research Scientist

A leading advanced technology and research organisation is seeking a Senior Research Scientist to join its growing Data and Decision Support Capability. This role offers the opportunity to work at the forefront of Artificial Intelligence (AI), Machine Learning (ML), and statistical signal processing in high-impact, mission-critical sectors including defence, space, security, and commercial domains.

The successful candidate will become part of the Advanced Information Processing (AIP) group – a dynamic team focused on cutting-edge AI/ML research, specialising in developing inference algorithms and intelligent systems for sequential (time-series) data and decision-making applications.

This is an exciting opportunity to contribute to complex, real-world challenges alongside a collaborative team of AI/ML experts, software engineers, and domain specialists. The role also offers the chance to lead research initiatives, collaborate with top-tier academic institutions, and shape future innovation within emerging technology areas.

Key Responsibilities

• Lead the technical delivery of research projects, including mentoring junior scientists and developers.
• Design, develop, and evaluate novel AI/ML algorithms and prototypes.
• Collaborate with cross-functional teams across areas such as radar, sonar, autonomy, NLP, and computer vision.
• Produce and present high-quality technical reports, proposals, and supporting materials for both technical and non-technical audiences.
• Publish research in peer-reviewed journals or present at academic conferences where appropriate.
• Engage with university and research partners to expand thought leadership and stay at the forefront of innovation.
• Contribute to patenting activities and IP generation in strategic technology areas.

Key Skills & Experience

• PhD or equivalent industry experience in a relevant scientific or engineering discipline.
• Strong background in machine learning and/or statistical signal processing, particularly applied to time-series or sensor data.
• Extensive hands-on experience with Python, including key ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Proven ability to develop and deliver proof-of-concept systems or demonstrators.
• Experience leading research or development projects in multi-disciplinary environments.

Preferred Expertise in One or More of the Following Areas:

• RF communications and CEMA (Cyber and Electromagnetic Activities)
• Electronic Warfare (EW) and electromagnetic signal analysis
• Multi-sensor data fusion and target tracking
• Radar and sonar signal processing
• Distributed sensing and edge processing
• Human-machine teaming and intelligent autonomy
• Space Domain Awareness (SDA) and orbital sensing
• PNT (Positioning, Navigation, and Timing)
• Behavioural analytics and pattern of life modelling