Computer Science (finite element analysis) PhD Projects, Programmes & Scholarships

We have 7 Computer Science (finite element analysis) PhD Projects, Programmes & Scholarships

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Brunel University London Civil Engineering

Objective. The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Finite Element analysis. Read more

Supervisors: Dr M Rustell , Dr E Bertolesi

Year round applications PhD Research Project Self-Funded PhD Students Only

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Bridging the Gap: Integrating Neural Radiance Fields and Micro-drones for Enhanced 3D Volumetric Finite Element Analysis

Brunel University London Civil Engineering

Objective. The central objective of this project is the innovative deployment of Neural Radiance Fields (NeRFs) and micro-drones in the process of 3D volumetric Finite Element modelling of bridges. Read more

Supervisors: Dr M Rustell , Dr E Bertolesi

Year round applications PhD Research Project Self-Funded PhD Students Only

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Dynamic Analysis of Power Cables in Floating Wind Turbines

Aberdeen University School of Engineering

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Supervisors: Dr M Aleyaasin, Dr A Karadimos

Year round applications PhD Research Project Self-Funded PhD Students Only

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Modelling Crack Nucleation and Growth in Rail Steels

University of Southampton Faculty of Engineering and Physical Sciences

Supervisory Team: Professor Pedro Rivera and Dr Ben Cameron. Project description. Rail safety is dependent upon the ability to control the nucleation and growth of cracks. Read more

Supervisor: Prof P Rivera

31 May 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Artificial Intelligence based Electric Vehicle Motor Design

University of York School of Physics, Engineering and Technology

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more

Supervisor: Dr X Zhao

Year round applications PhD Research Project Self-Funded PhD Students Only

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Development of an Optical Shape Sensing Method Using Optoelectronic Sensors for Soft Flexible Robotic Manipulators in Minimally Invasive Surgery

Brunel University London Aerospace Engineering

About the programme. Over the last two decades, many soft continuum manipulators have been developed by many academic institutions and industries for MIS (minimally invasive surgery), endoscopy, and colonoscopy because they can easily access the small or narrow opening in the body during a medical operation. Read more

Supervisor: Dr Y Noh

Year round applications PhD Research Project Self-Funded PhD Students Only

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Machine Learning and Domain Decomposition methods for Fluid Dynamics

Kingston University Faculty of Engineering, Computing and the Environment

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Supervisors: Dr M Bosy, Dr G Hunter

Year round applications PhD Research Project Self-Funded PhD Students Only

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We have 7 Computer Science (finite element analysis) PhD Projects, Programmes & Scholarships

Computer Science (finite element analysis) PhD Projects, Programmes & Scholarships

We have 7 Computer Science (finite element analysis) PhD Projects, Programmes & Scholarships

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Bridging the Gap: Integrating Neural Radiance Fields and Micro-drones for Enhanced 3D Volumetric Finite Element Analysis

Dynamic Analysis of Power Cables in Floating Wind Turbines

Modelling Crack Nucleation and Growth in Rail Steels

Artificial Intelligence based Electric Vehicle Motor Design

Development of an Optical Shape Sensing Method Using Optoelectronic Sensors for Soft Flexible Robotic Manipulators in Minimally Invasive Surgery

Machine Learning and Domain Decomposition methods for Fluid Dynamics

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