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IoT and Machine Learning Security Engineer KTP Associate

City, University of London
London
1 month ago
Applications closed

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Background

CSGUoL and IntelliCasa are recruiting for a candidate to develop a system called LISTENER to enhance IoT security and reliability within residential and commercial automation control systems.


Working virtually with attendance at CSGUoL and IntelliCasa’s offices in London, the candidate will have the opportunity to apply their academic and business knowledge to this commercial project.


IntelliCasa designs and installs smart home and commercial automation systems. The KTP will support IntelliCasa to develop an AI-driven, hardware-based system that embeds threat detection/prevention directly into IoT network



Responsibilities

The candidate will configure IoT device hardware configuration, conduct Hardware/Software requirement analysis, embed cybersecurity, develop software development, and embed Data Science and Machine Learning capabilities.


Specifically, the candidate will collect network and device health data, extract relevant features from data to train ML models, configure IoT devices, train/test verifiably robust ML models using formal methods, integrate ML and AI models into LISTENER, integrate software-hardware for intrusion/anomaly detection and prevention, and minimise false alarms to guarantee IoT devices are not interrupted unnecessarily.



Person Specification

We are looking for a candidate with a BSc and MSc in Computer Science or Electrical Engineering, with focus on cyber security or AI/data science. Knowledge of AI and ML models, Data Science and security engineering is essential, as is working with IoT hardware.


The ideal candidate will have knowledge of software for mobile app development, and of smart home systems, IT/AV systems and home security systems, as well as experience of working within the secure software design sector.



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