IoT and Machine Learning Security Engineer KTP Associate ( Redeployees Only )

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

Specifically, the candidate will:

1. Collect network and device health data.
2. Extract relevant features from data to train ML models.
3. Configure IoT devices.
4. Train and test verifiably robust ML models using formal methods.
5. Integrate ML and AI models into LISTENER.
6. Integrate software and hardware for intrusion and anomaly detection and prevention.
7. Minimize false alarms to ensure IoT devices are not unnecessarily interrupted.

We are seeking candidates with a BSc and MSc in Computer Science or Electrical Engineering, focusing on cybersecurity or AI/data science. Knowledge of AI/ML models, Data Science, security engineering, and IoT hardware is essential.

Preferred candidates will also have experience with mobile app development, smart home systems, IT/AV systems, and home security systems, especially within secure software design sectors.

City St George's, University of London (CSGUoL), is a university of business, practice, and professions, combining expertise from City, University of London, and St George's, University of London. It is a leading provider of health education and offers interdisciplinary opportunities across health, business, law, creativity, communications, science, and technology.

CSGUoL and IntelliCasa are recruiting for a candidate to develop LISTENER, a system designed to enhance IoT security and reliability in residential and commercial automation systems.

The role involves working virtually with attendance at CSGUoL and IntelliCasa's London offices, applying academic and business knowledge to this commercial project.

IntelliCasa specializes in smart home and commercial automation systems. The KTP will support the development of an AI-driven, hardware-based system that embeds threat detection and prevention directly into IoT networks.

CSGUoL is committed to diversity and inclusion, welcoming applications regardless of background, and operates a guaranteed interview scheme for disabled applicants.

The role is based at Boost's offices in London, with the primary place of work being CSGUoL's premises, regardless of remote work arrangements.

Benefits include a sector-leading salary, pension scheme, and comprehensive staff training and development packages.

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