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We have 10 Artificial Intelligence (fabrication) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (fabrication) PhD Projects, Programmes & Scholarships

We have 10 Artificial Intelligence (fabrication) PhD Projects, Programmes & Scholarships

High-power Fibre Lasers for Visible Wavelengths

Supervisory Team: Prof Jayanta Sahu and Prof Johan Nilsson. Project description. Visible lasers are indispensable for applications such as display, underwater communication, microscopy, bio-photonics, optical storage, and materials processing. Read more

Laser-based fabrication of medical diagnostic devices in paper

The focus of our group’s research is the development of user-friendly sensors or devices for affordable and rapid clinical diagnostic testing at the point-of-care (POC) of a patient, i.e., at their hospital bedside or in a care/nursing home, or in ambulance or at home. Read more
Last chance to apply

Towards reliable detection of uterine contraction: Development of a nanostructured biocompatible electrohysterography electrode array system

This is a four year collaborative studentship which requires the candidate to spend two full years based at Coventry University (UK) and two years based at A*STAR Research Institute (Singapore). Read more

Next Generation Silicon Photonic Modulators

Supervisory Team: Prof David Thomson and Dr Weiwei Zhang . Project Description. This project will focus on research into the next generation of optical data communication technology enabling key applications such as high-performance computing and artificial intelligence to thrive. . Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

https://www.jobs.ac.uk/job/DEZ391

Supervisory Team:   Dr Yongmin Jung and Dr Ali Masoudi. Project description. This is an unparallel opportunity to redefine the landscape of distributed sensing systems and contribute to groundbreaking developments in healthcare, environment monitoring, and beyond. Read more

Machine Learning Model for Soft Robotic Gripper

Soft robotics are considered as a part of Robotics 2.0 which is related to the real-world environment with low predictability, low programmability, creativity, adaptation, and soft interaction. Read more
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