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We have 19 Dynamics (safety) PhD Projects, Programmes & Scholarships
Dynamics (safety) PhD Projects, Programmes & Scholarships
We have 19 Dynamics (safety) PhD Projects, Programmes & Scholarships
Intelligent Dynamic Control for Safety Assured and Highly Productive Maintenance in Fusion Power Plants (Ref: AACME-24-048)
The lack of safety assured control methods limits the development of new maintenance solutions in the roadmap of improving maintenance productivity for fusion power plants. Read more
Safety Guaranteed Dynamics Control and Intelligent Systems
The project. The recent remarkable advancement of machine learning (ML) and artificial intelligence (AI) opens the potential and possibilities of next-generation engineering control (or cybernetics). Read more
University of Bath URSA project: COMPASS – Composite Materials for Protective Armours with intelligent Safety and Sustainability
This project is one of a number that are in competition for funding from the University of Bath URSA competition, for entry in September 2025. Read more
Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal inspections and structural health monitoring
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
CFD Study of Fires in Mechanically Ventilated Nuclear Compartments
Fire remains a major risk in nuclear power plants (NPPs). Fire safety research therefore plays an important role in developing fire simulation tools for risk assessments in nuclear facilities. Read more
Spillover-free control of flexible beams using piezoelectric sensors and actuators (S3.5-ELE-Selivanov)
The need for precise control of flexible structures is more critical than ever. Whether it’s reducing the weight of next-generation aircraft, ensuring the stability of towering skyscrapers, or improving the energy efficiency of mechanical systems, advanced control methods are at the heart of these challenges. Read more
Artificial intelligence for ultrasonic characterisation of complex materials
Research Group:
ISVR: Dynamics Group
Explore the space where physics-based modelling and artificial intelligence meet. Join this project on ultrasonic non-destructive characterisation of complex materials. Read more
Learning for Control: Enabling Efficient Networked Autonomous Systems
You will design control policies for autonomous systems combining control, optimization, and machine learning tools. Read more
Robust Model-based Predictive Control for Hybrid Robotic Arms
Research Group:
Intelligent Systems and Robotics
In contrast to conventional robots, hybrid (soft-rigid) robots offer enhanced interaction safety alongside sensorised, repeatable performance. Read more
Enhancing Cybersecurity through Automated Real-Time Threat Response PhD
Join our exciting PhD program in Security Automation and be at the forefront of changing the way we protect ourselves from cyber threats. Read more
High performance frequency solver for blade-tip/casing contacts
This Ph.D. project is part of an international research collaboration involving Siemens Energy, Safran group, and the Laboratory of Acoustics and Vibration Analysis in Polytechnique Montréal. Read more
High fidelity modelling of bladed disk/casing systems
This Ph.D. project is part of an international research collaboration involving Siemens Energy, Safran group, and the Laboratory of Acoustics and Vibration Analysis in Polytechnique Montréal. Read more
System Identification and Uncertainty Quantification for Smart Robot Control (S3.5-ELE-Jones)
For robots to successfully handle complex tasks, they must be able to interact with and adapt to the ever changing real-world environments they operate in. Read more
An innovative data/system science and AI-based approach for nonlinear electrochemical impedance spectroscopy of battery cells/systems (S3.5-ELE-Lang)
Battery systems are the most challenging component in terms of costs, durability, weight, performance and safety in many applications such as drive-train of electric vehicles. Read more
Causal Machine Learning to Enhance Decision-Support for Engineering Populations (S3.5-MAC-Hughes)
It is well established that medical treatments can vary in their effectiveness from patient to patient, based on factors such as their age, socioeconomic status, and the other pathologies that may be affecting an individual. Read more
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