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We have 32 Computer Science (civil engineering) PhD Projects, Programmes & Scholarships

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Computer Science (civil engineering) PhD Projects, Programmes & Scholarships

We have 32 Computer Science (civil engineering) PhD Projects, Programmes & Scholarships

Fully Funded PhD opportunities in Engineering Sciences

Engineering Sciences are included in Doctoral School at Gdańsk University of Technology, Poland, which is regarded to be the first research university in Poland among universities of technology according to domestic rankings. Read more

PhD in Design, Architecture, Technology and Engineering

Based on the south coast, an hour from London, the University of Brighton has built a reputation on research excellence and a dynamic, diverse and creative student community and the University of Brighton’s research responds directly to the most pressing global challenges, with impact at the heart of our ambitions and success. Read more

Transportation Decision Making and Uncertainty

The transportation infrastructure is currently facing challenges from ever-changing disruption scenarios and unpredictability, particularly with the uncertainties brought on by climate change and natural hazards. Read more

Study Engineering in the USA with the George Washington University

Doctoral students comprise the backbone of research conducted at the School of Engineering & Applied Science. Through funding support from faculty, internal and external grants, doctoral students can expect to take 4-6 years to complete the program through coursework, research credits and writing their dissertation. Read more

Multi Risk and Resilience

Self funded 3 year PhD, October 2024 start. This interdisciplinary project aims to enhance infrastructure resilience and sustainability using advanced numerical modelling combined with machine learning. Read more

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

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

Numerical modelling of multiphase flow and reactive transport in porous materials

Understanding reactive transport in porous materials is of utmost importance for a wide range of engineering applications, including subsurface energy storage, low-carbon building materials and fuel cells. Read more

Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security

Digital infrastructures are at the heart of our societal fabric. They range from traditional critical infrastructures, for example, water, power to emerging ones such as smart cities, intelligent transportation, Fintech and future banking, through to large social and business interaction platforms. Read more

Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security

Digital infrastructures are at the heart of our societal fabric. They range from traditional critical infrastructures, for example, water, power to emerging ones such as smart cities, intelligent transportation, Fintech and future banking, through to large social and business interaction platforms. Read more

Computationally efficient modelling & simulation and applications

The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more

High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Enhanced spectroscopy-based in-situ environmental monitoring: development of novel materials and machine learning techniques

Self funded 3.5 year PhD in Engineering. Project Summary. Water and soil health has been jeopardized globally by various types of contaminants, posing significant threats to the biodiversity and food security. Read more

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