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We have 14 Software Engineering (safety) PhD Projects, Programmes & Scholarships

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Software Engineering (safety) PhD Projects, Programmes & Scholarships

We have 14 Software Engineering (safety) PhD Projects, Programmes & Scholarships

Integration of Internet of Things (IoT) and Artificial Intelligence (AI) for Flame Monitoring and Safety Enhancement in Industrial Settings

This research project presents an exceptional opportunity for individuals interested in harnessing the power of Internet of Things (IoT) and Artificial Intelligence (AI) to enhance flame monitoring and safety protocols in industrial environments. Read more

SALE-Auto: Safety Assurance for Learning-Enabled Autonomous Systems

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Industrial Cyber-Physical Systems Safety and Security

Industrial cyber-physical systems (iCPS) may suffer security risk from cyber space and safety risk from physical space. iCPS develop strategies based on safety and security (S&S) requirements to reduce risks from cyber and physical spaces. Read more

Situation Coverage Testing in Simulation for Mobile Robots

As part of the Assuring International Programme we are developing a mobile robot to demonstrate our safety engineering guidance, in particular our top-level safety guidance (SACE) and our machine learning safety guidance (AMLAS). Read more

Intelligent and Efficient Testing and Verification of Deep Neural Networks

About the Project. Deep Neural Networks (DNNs) have demonstrated human-level capabilities in several challenging machine learning tasks including image classification, natural language processing and speech recognition. Read more

Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems

The integration of sensors and embedded devices for the purpose of data acquisition to support human activity recognition, management of living challenges, and behavioural patterns for the purpose of proactive decision making has continue to open more direction of research in smart home applications such as Ambient Assisted Living (AAL). Read more
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