We are seeking a Senior Researcher specialising in machine learning for platform and system security.

This role sits at the intersection of advanced machine learning, operating systems, computer architecture, embedded systems, and cybersecurity. The successful candidate will research and develop ML-based techniques for identifying, analysing, and mitigating security threats across complex computing platforms.

Key Responsibilities

• Research and develop machine learning techniques for platform, system, and device security.
• Apply neural networks, transformer-based models, probabilistic methods, and other modern ML approaches to practical security problems.
• Develop models for anomaly detection, threat identification, behavioural analysis, and security monitoring.
• Investigate the use of AI and machine learning for detecting vulnerabilities, attacks, malware, and abnormal system behaviour.
• Design and evaluate ML-based security solutions across operating systems, embedded platforms, and low-level software environments.
• Conduct experiments using real-world or representative security datasets and system telemetry.
• Analyse model performance, robustness, false-positive behaviour, and deployment constraints.
• Collaborate with researchers and engineers across machine learning, systems, cybersecurity, and hardware architecture.
• Build research prototypes and translate successful approaches into practical system implementations.
• Contribute to research publications, technical reports, internal demonstrations, and longer-term research initiatives.

Essential Requirements

• PhD or equivalent research-level expertise in Machine Learning, Computer Science, Applied Mathematics, Statistics, or a related technical discipline.
• Strong academic or practical background in probabilistic machine learning, statistics, or applied mathematics.
• Deep understanding of modern machine learning methods, including neural networks and transformer-based architectures.
• Hands-on experience applying AI or machine learning techniques to real-world problems.
• Strong programming and experimental development skills.
• Familiarity with computer architecture, operating systems, and systems-level concepts.
• Ability to design, implement, and evaluate machine learning experiments independently.
• Strong analytical and problem-solving skills.
• Ability to work effectively within multidisciplinary research and engineering teams.
• Strong written and spoken English.
• Interest in conducting applied research within an industrial environment.

• Are you interested in this position?

   

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