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The University of Manchester Electrical & Electronic PhD Projects, Programs & Scholarships

We have 20 The University of Manchester Electrical & Electronic PhD Projects, Programs & Scholarships

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  EPSRC CDT in Compound Semiconductor Manufacturing

Funding Type

PhD Type

This new EPSRC Centre for Doctoral Training provides fully funded PhD studentships and comprehensive training in Compound Semiconductor Manufacturing.
  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.
  Hybrid dynamic modelling framework for bioprocess digitalisation and optimisation
  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.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Cognitive Robotics and Human Robot Interaction
  Prof A Cangelosi
Applications accepted all year round

Funding Type

PhD Type

Research on cognitive robotics focuses on the design of intelligent behaviour and sensorimotor and cognitive skills in robots, by taking inspiration from human cognition (psychology) and brain mechanisms (neuroscience).
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Guaranteeing Reliability for IoT Edge Computing Systems
  Dr V Pavlidis
Applications accepted all year round

Funding Type

PhD Type

pical IoT Edge devices collect data from several sensors and may also control several actuators depending on the target application.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  Zero-Shot Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
  Exposing the nanoscale ultrafast dynamics of Dirac systems via near-field terahertz spectroscopy
  Dr J Boland
Applications accepted all year round

Funding Type

PhD Type

To create energy-efficient, faster ’21st century devices’ that can impact a range of sectors, including healthcare, wireless communication, defence, security and clean energy, integrated photonic, electronic and quantum technologies are essential.
  Next generation electrical motor drives for wind and automotive applications
  Dr S Durovic
Applications accepted all year round

Funding Type

PhD Type

The automotive, aerospace, offshore wind and manufacturing sectors are looking for much improved performance envelope electrical machines and drives to underpin ambitions plans for market electrification.
  Robotics for carbon-neutral fusion-energy – University of Manchester & RACE @ UKAEA
  Prof G Herrmann
Applications accepted all year round

Funding Type

PhD Type

RACE (Remote Applications in Challenging Environments, http://www.race.ukaea.uk/) was founded in 2014 as part of the UK Atomic Energy Authority (UKAEA) to create robots operated in some of the most challenging environments.
  Atomic imaging for optimising van der Waals heterostructures
  Research Group: Nano and Functional Materials
  Dr S Haigh, Prof A Geim
Application Deadline: 30 June 2020

Funding Type

PhD Type

The possibility to create new ‘designer’ materials by stacking together atomically thin layers extracted from layered materials with different properties…
  Atomic imaging in liquids
  Research Group: Nano and Functional Materials
  Dr S Haigh, Dr RG Gorbachev
Application Deadline: 30 June 2020

Funding Type

PhD Type

Transmission electron microscopy (TEM) is one of the few techniques able to image the structure and chemistry of a wide range of materials at the atomic scale.
  Development of Effective Corrosion Testing Approaches for Performance Evaluation of Organic Coatings
  Research Group: Metallurgy and Corrosion
  Dr M Curioni, Prof X Zhou
Application Deadline: 30 June 2020

Funding Type

PhD Type

Sustainable Coatings by Rational Design (SusCoRD) is a multi-disciplinary project which aims to, for the first time, connect a detailed scientific understanding of the mechanisms of coatings failure with state-of-the-art-machine learning to deliver a framework for the optimisation of protective coatings and nanocomposite materials.
  Microstructure and defect formation in metal additive manufacturing
  Research Group: Imaging and Characterisation
  Dr W Mirihanage
Applications accepted all year round

Funding Type

PhD Type

Additive manufacturing (AM) is a futuristic technology for rapid production of net-shaped or near-net-shaped components without the design constraints of traditional manufacturing routes.
  Microstructure control in metal additive manufacturing
  Research Group: Imaging and Characterisation
  Dr W Mirihanage
Applications accepted all year round

Funding Type

PhD Type

Metal additive manufacturing (AM) is rapidly emerged as a viable alternative to subtractive manufacturing. Among various AM techniques.
  EPSRC CDT in Advanced Biomedical Materials

Funding Type

PhD Type

Applications are invited from qualified graduates for fully-funded four-year PhD studentships in the area of Advanced Biomedical Materials.
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