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analytics techniques (machine learning) for process control and optimisation. In this project, you will focus on achieving metamaterial behaviour through phase control within the additive manufacturing build
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castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
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close to completion of a PhD degree (or have equivalent experience) in a subject related to robotics, machine learning, and artificial intelligence. (assessed at: application) Integration of sensors and
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: 30 June 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra-thin membranes are produced in many
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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(XAI) to enhance the reliability and applicability of AI algorithms for healthcare applications [2] and/or identifying pitfalls of current AI models using adversarial machine learning. Supervisor Bio Dr
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Kirill Horoshenkov Application Deadline: 16 May 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra
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machine learning, this project will develop and validate a multi-time scale digital twin concept for advanced condition monitoring and maintenance of direct-drive permanent magnet generators and converters
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themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. The question of how an origami “machine” made of passive self-folding materials, which is bound by