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Software Engineering PhD Projects, Programs & Scholarships in Warwick

We have 11 Software Engineering PhD Projects, Programs & Scholarships in Warwick

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Showing 1 to 11 of 11
  Investigating Transport System Risks due to Cyber-Physical Security Threats
  Prof S Shaikh, Dr H Nga Nyguen
Application Deadline: 30 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will be joining the project ‘Investigating Transport System Risks due to Cyber-Physical Security Threats’ in the Systems Security Group at Coventry.
  Model-based security testing for Automotive Systems
  Dr H Nguyen
Application Deadline: 30 June 2020

Funding Type

PhD Type

In the modern automotive world, it is vital to make vehicles cyber-secure by understanding the risks and then engineering security requirements based on these risks.
  3D dynamic simulation of myocardial bridge: estimation of myocardial ischemia with a simplified biomechanical model
  Prof D Zheng, Prof Y Su, Dr H Liu
Application Deadline: 30 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will join the project ‘3D dynamic simulation of myocardial bridge.
  Modelling shared road space: Quantitative examination of the operational and safety characteristics of shared road space types in the UK and Australia
  Prof S Birrell, Dr A Debnath
Application Deadline: 22 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia.
  External Interfaces for Autonomous Vehicles in Shared Spaces
  Prof S Birrell
Application Deadline: 22 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia.
  A study on Lesion Index guided VentrIcular tachycarDia ablation: LIVID study
  Prof H Maddock
Applications accepted all year round

Funding Type

PhD Type

The Centre for Sport, Exercise and Life Sciences at Coventry University is offering a 3-year fully funded PhD studentship to explore a translational cardiovascular modelling research project.
  Deep Reinforcement Learning for Smart Steel Processing
  Research Group: Data Science
  Prof C Davis, Prof G Montana
Applications accepted all year round

Funding Type

PhD Type

Sequential decision making describes a situation where the decision maker makes successive observations of a process before a final decision is made.
  Heterogeneous materials in extreme environments: multiscale models of chemo-mechanical processes
  Dr L Figiel
Applications accepted all year round

Funding Type

PhD Type

Extreme volumetric expansion, high temperature gradients, and/or high-frequency vibrations can compromise structural integrity and safety of modern electronic systems (e.g.
  Adaptive probabilistic meshless methods for evolutionary systems
  Dr T Sullivan
Applications accepted all year round

Funding Type

PhD Type

This project will develop and implement a new class of numerical solvers for evolving systems such as interacting fluid-structure flows.
  Modelling the compositional variation of the properties of magnetic refrigeration materials
  Prof J Staunton
Applications accepted all year round

Funding Type

PhD Type

Refrigeration using magnetic materials has emerged as a promising new, energy efficient and environmentally friendly solid state cooling technology.
  Network Inference and Machine Learning: Identification of Diseases-gene Regulation
  Dr F He
Application Deadline: 29 May 2020

Funding Type

PhD Type

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will join the project ‘Network inference and machine learning.
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