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We have 9 University of York, Department of Computer Science PhD Projects, Programmes & Scholarships

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Department of Computer Science  University of York

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University of York, Department of Computer Science PhD Projects, Programmes & Scholarships

We have 9 University of York, Department of Computer Science PhD Projects, Programmes & Scholarships

Large Language Models in Intelligent Robotic Systems for Environment Clean Up

Large Language Models in Intelligent Robotic Systems for Environment Clean Up. If you are interested in robotics and have strong programming and software engineering skills, this could be a project for you. Read more

Resilient AI Systems for Polar Glacier Monitoring

AI has become a valuable asset in day-to-day life. It has also become an invaluable part of any research. It is often associated and combined within autonomous systems for monitoring environmental changes. Read more

Autonomous Robots for Gloveboxes

If you are interested in robotics, and have strong programming and software engineering skills, this could be a project for you. Successful completion of this project could lead to career prospects inside the UKAEA. Read more

Assured and Scalable Self-Adaptation for the Engineering of Trustworthy Autonomous Robotic Teams

About the Project. Robotic teams and other distributed autonomous systems (DAS) are increasingly used in several application domains including logistics, manufacturing, and infrastructure inspection. 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

Human-AI Collaboration for Resilient Emergency Care

About the Project. Autonomous and AI systems are an increasing part of daily life. As the range and impact of such systems increase due to fast advances in their underlying technology, UKRI has funded a number of investigatory research “nodes” to address the trustworthiness of autonomous systems. Read more
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