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Electrical & Electronic (self) PhD Research Projects

We have 172 Electrical & Electronic (self) PhD Research Projects

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We have 172 Electrical & Electronic (self) PhD Research Projects

Doctor of Engineering (EngD): Autonomous Energy Harvesting Image Sensor and Object Recognition (STMicroelectronics (R&D) Ltd and University of Edinburgh)

  Research Group: CDT in Applied Photonics
This work will research, design and develop an Energy Harvesting Image sensor which has integrated image processing and analysis functions to produce a fully self-powered autonomous sensor system capable of object detection, presence detection, motion detection, user identification etc. Read more

Electronic switching of peptide self-assembly: new approaches for directing nanofabrication.

  Research Group: Intelligent Systems and Nanoscience
Biomolecular recognition is considered one of the most promising approaches for high-throughput nanofabrication. For example, the ability of proteins, peptides or DNA to assemble spontaneously into complex and well-defined 3D structures has been exploited for fabricating a range of nano-structured materials and devices. Read more

Autonomous AI-driven cell-free 5G network architecture for highly dynamic and ultra-dense connectivity

The purpose of this research is to develop a mobile network that does not have fixed cellular boundaries. In conventional cellular networks, each user equipment (UE) is connected to the access point (AP) in only one of the many cells (except during handover). Read more

Exploring the potential of human-like computing applications for education or healthcare

Intelligent ‘human-like’ and emotionally intelligent applications, such as 3D games and mobile phone applications are becoming more common in our everyday lives, and also as an important area of focus within the fields of Human-Computer Interaction and Multimedia research. Read more

A point-of-care biosensor for personalised medicine

Personalised medicine is heavily reliant on point-of-care biosensors. Such biosensors should be self-referenced i.e. able to measure analytes in biological samples that are complex mixtures and amid changes in ambient conditions (e.g. Read more

Developing optical ultrasound sensors for photoacoustic imaging

Summary. A funded PhD studentship is available in the University of Birmingham’s Photoacoustic Imaging Group, based in the Institute of Cardiovascular Science in the College of Medical and Dental Sciences. Read more

Edge A.I. for Safety-Critical Systems

We invite applications for self-funded students to work in machine learning for safety-critical systems. The successful applicant will join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University under the supervision of Dr. Read more

Autonomous Microfluidic Platform for Healthcare Applications

The vision is to develop a complete, self-contained and self-powered microfluidic platform that has the sensitivity and selectivity of the current best clinical diagnostics (such as ELISA) but which can be used by anybody, anywhere and at any time with results reported in minutes. Read more

Remote Destruction & Sterilization of the Coronavirus by RF/Microwave Wireless Power Transmission

The proposed PhD research plan is to develop further a new methodology that can help combat the COVID-19 pandemic by remote microwave sterilization of surfaces and air particles using antenna radiation and wireless power transmission. Read more

The law and economics of negative electricity prices and climate change

Please note. there is no funding attached to this project. The successful applicant will be expected to provide the funding for tuition fees and living expenses, via external sponsorship or self-funding. Read more

Intelligent Robotic Device for Minimally Invasive Diagnosis and Treatment

  Research Group: Intelligent Systems and Nanoscience
The Medical Robotics Lab (. https://www.mrlabuk.com/. ) at the University of York has career opportunities in Medical Robotics and Medical Mechatronics. Read more

Fast implementation of Deep Neural Networks for IoT devices

Deep neural networks (DNNs) have found great success in many computer vision-related tasks. However, most of the existing DNNs require high computation and storage cost. Read more

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