University of Huddersfield - Engineering PhD

University of Huddersfield

Engineering PhD

A PhD is the highest academic award for which a student can be registered. This programme allows you to explore and pursue a research project built around a substantial piece of work, which has to show evidence of original contribution to knowledge.

A PhD is a programme of research, culminating in the production of a large-scale piece of written work in the form of a research thesis that should not normally exceed 80,000 words (excluding ancillary data).

Completing a PhD can give you a great sense of personal achievement and help you develop a high level of transferable skills which will be useful in your subsequent career, as well as contributing to the development of knowledge in your chosen field.

You are expected to work to an approved programme of work including appropriate programmes of postgraduate study (which may be drawn from parts of existing postgraduate courses, final year degree programmes, conferences, seminars, masterclasses, guided reading or a combination of study methods).

You will be appointed a main supervisor who will normally be part of a supervisory team, comprising up to three members to advise and support you on your project.

Entry Requirements

The normal level of attainment required for entry is:

  • A Master’s degree or an honours degree (2:1 or above) or equivalent, in a discipline appropriate to the proposed programme to be followed, or appropriate research or professional experience at postgraduate level, which has resulted in published work, written reports or other appropriate evidence of accomplishment.
  • IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable

Course Details

There are several research topics available for this degree. See below examples of research areas


Research Topics

Inverse design of turbo-machines.
3D Imaging and Crime Scene Reconstruction
3D sound field analysis and fault prediction in and out of the smart home environment
A Convolutional Neural Network Model Predicting the Thermal Behaviours of Machines for Fault Diagnosis
A Physics Model based Convolutional Neural Network(CNN) for Dynamic Visualisation and Rotor Monitoring
A Semi-Analytical Approach to Determining Velocity Profiles in the Near to Middle Distance Behind A Horizontal Axis Wind Turbine
A smart diagnosis robot based on an active acoustic arrays
A study of novel beam collimation systems for the High Luminosity upgrade of the Large Hadron Collider at CERN
A systematic research on ultra-precision manufacturing of functional surfaces with embedded on-machine measurement system.
Adaptive modification of the boundary conditions in Finite Element Analysis models based on live data feedback and machine learning
Adaptive music generation for the home
Additive Manufacturing of Ti Alloys Using NeuBeam Technology
Aerodynamic characterisation and design optimisation of vertical axis wind turbines for sustainable urban environments.
Application of Thermoacoustic Stirling Cycle for Electricity Generation Using Solar Energy
Application of advanced measurement techniques to toolmark investigation
Autonomous Abnormality Assessment
Characterisation of Heterogeneous Mixtures Using Non-Invasive Measurement Techniques
Characterisation of Multi-component and Multi- phase flows through complex industrial systems.
Characterisation of the dynamic behaviour of vortex rings to optimise the cooling process in a prilling tower.
Coded Excitation Methodologies For Ultrasonic Testing Techniques Exhibiting Poor Signal To Noise Performance
Control of Flow Unsteadiness on Swept Wings - Studies of Flow Physics Due to Embedded Synthetic Jet Actuators
Correlation Analysis of Heaviness and Clarity in Metal Music Production
Data-driven intelligent micro and nanomanufacturing technologies for functional surfaces
Dataflow programming and FPGA acceleration of computationally-intensive algorithms
Design and Development of FPGA Implementable Hardware Security primitives
Design and manufacture of freeform functional surfaces in novel optical materials
Development of Bio functionalized surfaces using Additive Printing of Materials
Development of Heat Exchanger Design Strategies for Oscillatory Flows
Development of Micro-Thermoacoustic Cooler for Heat Transfer Management in Electronics
Development of New generation Surface Metrology Software
Development of a Computational Fluid Dynamics based model for online monitoring of pollution leak for risk mitigation
Development of a Digital twin for online estimation of the biological environmental health indicators within confined inhabited spaces
Development of a virtual integrated ultra-precision manufacturing and metrology system for advanced freeform surfaces
Development of an abrasive machining method to the surface structuring of novel technical materials
Development of compact broadband interferometer
Development of energy efficient building regression models with sensing platform to predict the thermal comfort and indoor environment quality
Development of full-duplexing techniques in multi-user, multi-antenna set up in 5G communication networks
Development of non-invasive flow metering system for the single phase and multiphase flow measurement.
Digital Monitoring Meets Artificial intelligence in Advanced Manufacturing
Dynamic monitoring and assessment of in-process additive manufacturing
Dynamic stability analysis of time varying systems
Experimental Studies of Multiphase Flow in Inclined Pipes
FEA of mesoscopic Modelling of creep cavitation damage and rupture at grain boundary
Fast surface determination method based on XCT simulation and Machine Learning
Fear Learning Hardware Models for Intelligent Robots
Foil backed aerodynamic bearings for automotive turbocharger applications.
Hardware-in-the-loop simulation of railway vehicle hybrid drive systems
Heat Transfer and Fluid Flow Processes in Thermoacoustic Devices
High-Value Dynamic Information filtering and precise surface texture modelling in metal cutting
Hydrodynamic characterisation of hydraulic capsule pipelines for on-shore and off-shore applications.
Improving quality of life in smart house using the internet of acoustic things
In-bed smart sensor with deep learning for elderly home-care
In-situ traceable calibration of embedded temperature measurement
Infinitive multi-sensor deflectometry for freeform specular surface measurement
Input volume reduction methodologies for predictive behavioural classifiers.
Integrated self-aware sensors for manufacturing
Integration of augmented reality and computational fluid dynamics tools for moisture/humidity identification and visualisation in indoor environments
Integration of nano-photonic components in Metrological Instrumentation
Intelligent closed-loop thermal-distortion control system for manufacturing machines
Intelligent filtration for Complex freeform Structured Surface
Internet of Things enabled Secure Cyber-Physical Systems for Smart Railways
Inverse design of complex flow handling systems.
Inverse design of innovative electro-mechanical systems.
Inverse design of innovative renewable energy systems
Inverse design of wind turbine blades’ surfaces and shape for ice accretion resistance
Investigation of creep cavitation rupture
Investigations into the influence of audio-visual interaction on the quality of experience in virtual reality (VR)
Lubricity monitoring of a bearing-rotor system with accurate demodulations
Machine Learning Based Detection of Internal Defects of Additive Manufacturing Components using X-ray Computed Tomography Scanning Data
Manufacturing control through online surface prediction
Materials for mechatronic assisted energy harvesting from structures with low vibration
Mesoscopic Modelling of creep cavitation damage and rupture at grain boundary
Metalenses for Metrological applications
Model Based System Engineering Development for Surface Monitoring and Machining Stabilization
Modelling System Behaviours
Modelling nonlinear vibration responses of rotor systems with bearing clearances and misalignments
Modelling of creep cavitation rupture
Multi-functional Metasurfaces for Metrological Applications
Multi-sensor intelligent measurement system for 3D high dynamic complex surface measurement.
Non-linear systems approaches to detection of deviant events.
Numerical analysis of a desiccant-based dehumidification system employing membrane contactors
Optimised energy management of near-zero-energy houses with high share of on-site renewable energy
Optimised maximization of renewable energy sources penetration into remote microgrids in developing countries
Predictive analytics for applied process monitoring
Radiation Damage in Advanced Materials for Next-Generation Nuclear Reactors
Radiation Damage in Nanostructures
Self-calibration of embedded strain sensors for traceable measurement of structural distortion
Signal Processing Algorithms for millimetre Wave (mm-Wave) communications
Simulation based inverse design of functional surfaces incorporating artificial roughness exposed to fluid flow
Sparse data structure for computed tomography measurements
Studies of Heat Transfer in Anisotropic Materials
Surface topography characterisation methods for the manufacturing, functioning and metrology of additively manufactured components
Sustainable Refrigeration/Air Conditioning Driven by Solar Energy
The development of spatial variation of thermal barrier coatings on gas washed surfaces
Towards metrology systems on-a-chip using monolithic photonic integration
Track System Dynamics.
Train Brake Optimisation at Low Adhesion Conditions
Transceiver design for Non-orthogonal Multiple Access (NOMA) in 5G Communication Networks
Ultra High Definition TV Broadcasting.
Ultra-Compact Metrology systems using Nanophotonic Elements
Under the Skin of Ultra-Precision Manufacturing
Unsteady Vortex Dynamics and Vortex Breakdown

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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