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Electrical & Electronic (neural engineering) PhD Projects, Programs & Scholarships

We have 23 Electrical & Electronic (neural engineering) PhD Projects, Programs & Scholarships

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  PhD studentship in Engineering/Physics/Neuroscience/Medicine/Maths to work on Imaging brain and nerve function with Electrical Impedance Tomography.
  Prof D Holder, Dr K aristovich
Application Deadline: 1 May 2020

Funding Type

PhD Type

Background. Electrical Impedance Tomography is a new medical imaging method which enables images of the internal electrical impedance of a subject to be produced with arrays or external electrodes.
  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

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.
  Real-time simulation of large neural aggregates
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg,. Project description.
  PhD studentship in Optimisation of Bayesian Networks and Probabilistic Models for Hardware Acceleration
  Dr C-S Bouganis
Application Deadline: 30 June 2020

Funding Type

PhD Type

The focus of this project is to investigate and develop methodologies and approximation schemes for the efficient mapping of probabilistic models such as Bayesian Neural Networks on low-power embedded devices such as CPUs, NPUs, and FPGAs.
  NEUROSCAPE - a Virtual Reality Artificial Environment for simulated neural development studies
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg, Professor John Chad. Project description.
  Photonic Neuromorphic Sensing: Neural Network Algorithm Inspired All-Optical Sensing (ENG1337)
  Dr S Phang
Application Deadline: 30 April 2020

Funding Type

PhD Type

The PhD is a combined theoretical and experimental project which is aiming to develop a heuristic approach for a non-evasive in-vivo early stage cancer detection.
  Development of hybrid machine learning based strategy for bioprocess online control
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  AI Hardware Accelerators
  Research Group: Electronic Materials & Devices
  Prof T Prodromakis
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Themis Prodromakis. Co-supervisor Alex Serb. Project description. The Centre for Electronics Frontiers at the University of Southampton is a dynamic interdisciplinary Centre that delivers novel solutions for advanced sensory systems, energy technologies and unconventional computing architectures.
  Investigation of adversarial learning with deep neural networks
  Dr K Huang, Dr R Zhang, Dr Y Goulermas
Applications accepted all year round

Funding Type

PhD Type

Adversarial examples are augmented data generated by imperceptible perturbation of existing samples. They have recently drawn much attention with the machine learning community.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  Protein ghost recognition using deep learning
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Project description. POETS (Partially Ordered Event Triggered Systems) technology is based on the idea of an extremely large number (millions) of small processing cores, embedded in a fast, bespoke, hardware, parallel communications infrastructure – the core mesh.
  Compressed learning techniques for next generation connected autonomous mobility
  Research Group: Communication Technologies
  Dr Y Ko
Applications accepted all year round

Funding Type

PhD Type

The exploding data traffic is expected to grow at around daily 3 Petabytes by 2022, by a range of the emerging autonomous mobility applications such as connected autonomous vehicles, healthcare autonomy, warehouse robots, and AR/VR entertainment.
  A combined framework of machine learning and full waveform inversion for electromagnetic sensing of infrastructure (Advert Reference: SF19/EE/MCE/WARREN)
  Dr C Warren, Prof J Martin
Applications accepted all year round

Funding Type

PhD Type

Electromagnetic sensing systems, such as Ground Penetrating Radar (GPR), are critical tools to allow us to evaluate the condition of surface and sub-surface infrastructure.
  AI Hardware for Symbol-level Processing
  Prof T Prodromakis
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Themis Prodromakis. Co-supervisor Alex Serb. Project description. The Centre for Electronics Frontiers at the University of Southampton is a dynamic interdisciplinary Centre that delivers novel solutions for advanced sensory systems, energy technologies and unconventional computing architectures.
  Neuromorphic Sensing Processing
  Prof T Prodromakis
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Themis Prodromakis. Co-supervisor Alex Serb. Project description. The Centre for Electronics Frontiers at the University of Southampton is a dynamic interdisciplinary Centre that delivers novel solutions for advanced sensory systems, energy technologies and unconventional computing architectures.
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