University College London Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
European Molecular Biology Laboratory (Heidelberg) Featured PhD Programmes
United Kingdom
Glasgow×
10 miles
Engineering×

Engineering PhD Projects, Programs & Scholarships in Glasgow

We have 94 Engineering PhD Projects, Programs & Scholarships in Glasgow

  • Engineering×
  • United Kingdom×
  • Glasgow×
  • clear all
Order by 
Showing 1 to 10 of 94
  Formation of Hydraulic and Chemical Ground Barriers to Inhibit Contaminant Migration on Radioactively Contaminated Sites
  Prof R Lunn, Dr M Pedrotti
Application Deadline: 31 December 2019

Funding Type

PhD Type

Project Description. This 4-year PhD at the University of Strathclyde will explore the use of colloidal silica hydrogel as a barrier to migration of radioactive contaminants in soils during decommissioning operations on nuclear facilities.
  Fluid Dynamic Instabilities and Solid Particle Transport in Thermal Flows
  Dr M Lappa
Applications accepted all year round

Funding Type

PhD Type

With this Ph.D.
  The Migration of Droplets in Multi-Material Problems and Dispersed Multiphase Flows
  Dr M Lappa
Applications accepted all year round

Funding Type

PhD Type

The relevance of droplet dynamics and related non-equilibrium phenomena in several industrial applications and manufacturing techniques calls for new advanced studies using the tools of thermodynamics and computational fluid dynamics.
  Artificial Intelligence and machine learning for cutting edge problems
  Dr N Ramzan
Application Deadline: 14 January 2020

Funding Type

PhD Type

Modern Artificial Intelligence (AI) is an emerging field that develops intelligent algorithms and machines that include. self-driving cars, smart cameras, surveillance systems, robotic manufacturing, eHealth, emotion intelligence, and product recommendations.
  Community-based approaches for the implementation of Nature-based solutions against coastal erosion
  Dr A Ollauri, Dr K Munro, Dr S B Mickovski
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-024. Coastal erosion is a natural hazard which frequency and intensity will likely increase as a result of sea-level rise and storm surges due to climate change.
  Development of a Hybrid Prognostic Methodology for Predictive Maintenance 4.0
  Dr O Niculita, Prof D McGlinchey, Dr B Alkali
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-004. Knowing when systems need to be maintained is of great importance to companies operating high-value assets. Further, to know ahead of time, with plenty of time to optimize the maintenance and cause the least amount of disruption to the operation, would be highly desirable.
  Edge Computing for High Voltage Condition Monitoring– School of Computing, Engineering and Build Environment
  Dr A Nesbitt, Dr A L Michala, Dr G Morison
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-017. Recent developments in sensor, networked IIoT technology and computational storage have created a massive increase in the volume of captured data within high voltage condition monitoring systems.
  Experimental, Numerical and Computational investigation of the feasibility of an integrated hybrid machining and TIG based surface alloying process
  Dr P Munoz, Prof A Ogwu
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-018. The use of thermal spray coatings is a multi- billion pounds industry, for improving the life span, reliability and durability of engineering components in industries that span automotive, aerospace, marine and sea-going vessel engine components, oil and gas, power generation turbines.
  Bayesian Deep Learning for High Voltage Condition Monitoring
  Dr G Morison, Dr A Nesbitt
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-012. To ensure the power system operates safely and reliably, it is essential to monitor and evaluate the health condition of power equipment.
  Autonomous wireless optical energy harvesting systems for smart homes and indoor applications
  Dr S Mohamed, Dr S Sinanovic, Dr R Ramirez Iniguez
Applications accepted all year round

Funding Type

PhD Type

SEBE-19-002. Smart homes and buildings are becoming more popular and widely deployed. One main attractive feature in them is their ability to save energy and reduce carbon footprint via energy harvesting and powering devices autonomously.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.