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We have 25 neuromorphic PhD Projects, Programmes & Scholarships

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neuromorphic PhD Projects, Programmes & Scholarships

We have 25 neuromorphic PhD Projects, Programmes & Scholarships

Neuromorphic photonic-electronic integrated circuits for fast and efficient SPIKE-based information PROcessing (SPIKEPRO)

The human brain is exceptional at performing highly complex tasks fast and efficiently. Hence, neuromorphic (brain-like) information processing is receiving increasing research interest for use in novel computing and Artificial Intelligence (AI) hardware. 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

Neuromorphic sensing and computing

Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. Read more

Novel Phase Change Materials for Neuromorphic Applications

Supervisory Team: Ioannis Zeimpekis, Fred Gardes . Project description. In collaboration with a large EU consortium, we work to create a reprogrammable neuromorphic photonic platform for a variety of applications from telecommunications to biosensing. Read more

Bio-inspired Systems, Neuromorphic Hardware, Unconventional Computing

  Research Group: Intelligent Systems and Robotics
Applicants are invited in one, or a combination of, the following areas. Bio-inspired Systems. Wonders in Nature, including our own brains, have fascinated scientists and en- gineers for decades if not centuries. Read more

Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.

  Research Group: Healthcare Engineering
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more

Electrochemically switchable materials down to the single molecule level

This project will study the electrochemical properties of materials down to the single molecule level and it will investigate how electrochemical (redox state) switching of the molecules can change useful materials properties. Read more

Nanofabrication of novel materials for spintronics and energy harvesting

Society has benefitted from the continued miniaturisation of electronic components to the extent that we now take the availability of portable personal devices such as smart watches, phones, tablets and lighter, faster laptops for granted. Read more

Intelligent microsystems – Micro-sensors with in-sensor computing capabilities

  Research Group: Intelligent Systems and Robotics
In the era of Internet-of-Things (IoT), there will be an astronomical amount of data generated from numerous sensors worldwide. It is extremely insecure, power-inefficient, and time-consuming to transfer all the data between sensor nodes and computing units frequently. Read more

Ilmenau School of Green Electronics (ISGE)

Funded by the Carl-Zeiss-Foundation, the Technische Universität Ilmenau, Germany is establishing the “Ilmenau School of Green Electronics (ISGE)” for research on the next generation of IT systems. Read more

Large area 2D semiconductor platforms

Project description. Revolutionising the semiconductor industry with next generation 2D materials and devices. Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. Read more

CDT-QTE: Advancing quantum insights in memristor-based devices

Supervisory Team: Dr Ruomeng Huang, Prof Liudi Jiang. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

SLAM for UAV navigation in GPS and vision denied environments using deep reinforcement learning.

The aim of this project is to develop an UAV system capable of providing real time navigation including 3D mapping reconstruction, path planning and obstacle avoidance in GPS and vision denied environments. Read more

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