Salary: £33,797 to £39,152 plus £3706 London weighting per annum
Contract Type: Fixed Term – until 31/05/2022
Closing Date: Sunday 13 December 2020
Interview Date: To be confirmed
An opportunity has arisen for a research fellow 2 to work in the new EPSRC project CHAI (2020-2023). CHAI is a £2.4 Million research project led by the Internet of Things and Security (ISEC) Centre at the University of Greenwich, in collaboration with UCL, University of Bristol, Queen Mary University of London, and Reading University.
When a user faces a security threat such as receiving a phishing email or visiting a watering hole website, there are often visual and behavioural cues that can raise their suspicion, and there are known cyber hygiene measures they can follow. In contrast, for AI enabled Internet of Things devices, such as those found in a smart home, this is rarely the case, because they are designed to be minimalist and seamless. CHAI’s aim is to help the individual protect themselves against security risks in AI enabled environments. In AI enabled domestic life, new cyber hygiene measures need supporting by diagnostic tools that allow users to identify security attacks and appropriate training. CHAI focuses on the social housing sector, which is introducing several AI initiatives, such as housing management chatbots, building maintenance bots, and smart thermostats to tackle fuel poverty. While these initiatives can result in cost cuts and facilitate property management, residents have no control over these changes and often do not have the digital literacy to respond to security risks and breaches.
The specific research post relates to the experimental assessment of cyber security threats in AI-enabled smart home devices, and to leading the development of a prototype AI-based IoT system that will serve as the testbed for the project’s experimental evaluation and deployment in real households.
This is an exciting opportunity to participate in a highly novel and fundamentally interdisciplinary research project, with partners combining artificial intelligence and Internet of Things security with optimisation, neuroscience and participatory design.
You will need to be a highly competent software developer, who is comfortable with embedded systems, and preferably has experience with Jetson Nano, Raspberry Pi4 or similar environments for developing Internet of Things systems. A PhD in computer science, engineering or similar is essential. Experience in artificial intelligence (e.g., in statistical machine learning or deep learning) or cyber security (e.g., in penetration testing or intrusion detection) is desirable.
Before applying, you may wish to contact Professor George Loukas (email@example.com) for informal enquiries.
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