Responsibilities

• Configure IoT device hardware configuration.
• Conduct hardware/software requirement analysis.
• Embed cybersecurity features and develop software.
• Incorporate data science and machine learning capabilities.
• Collect network and device health data and extract relevant features.
• Train and test verifiably robust ML models using formal methods.
• Integrate ML and AI models into LISTENER.
• Integrate software-hardware for intrusion, anomaly detection and prevention.
• Minimise false alarms to avoid unnecessary device interruptions.

Qualifications

• BSc and MSc in Computer Science or Electrical Engineering, with a focus on cybersecurity or AI/data science.
• Profound knowledge of AI and ML models, data science, and security engineering.
• Experience working with IoT hardware.
• Understanding of software for mobile app development and smart home systems.
• Experience in secure software design and related fields.

Benefits & Location

The role is based at Boost’s offices in London. Employees receive a sector‑leading salary, pension scheme and a comprehensive package of staff training and development.

IntelliCasa designs and installs smart home and commercial automation systems.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio‑economic background. City St George’s operates a guaranteed interview scheme for disabled applicants.

City St George’s offers a sector‑leading salary, pension scheme and benefits including a comprehensive package of staff training and development.