EPSRC Studentships

We offer fully funded Engineering and Physical Sciences Research Council (EPSRC) studentships in the following areas:

  • Materials Science
  • Manufacturing the future
  • Physical Sciences
  • Energy
  • Engineering
  • Mathematical Sciences
  • Digital Economy

This call is open to UK Applicants only

Applicants should be of outstanding quality and exceptionally motivated.

The studentships are funded for 3 years subject to satisfactory annual performance and progression review, and will provide for tuition fees and a tax-free stipend paid monthly.

Please note that there are more projects than funded studentships available and therefore this is a competitive application process which will include an interview.  Shortlisted candidates will be contacted for an interview in person or via Teams.  After interview the most outstanding applicants will be offered a studentship.

Application Details

  • Complete the Expression of Interest Form 2024 
  • Provide copies of transcripts and certificates of all relevant academic and/or any professional qualifications.
  • Provide references from two individuals

Queries about the application process are welcomed.  These along with completed forms, including all relevant documents should be submitted via-email to pgrscholarships@hud.ac.uk by the closing date which is 12 noon on Friday 12th April 2024.

Informal enquiries about individual projects should be directed to the lead supervisor listed for each project.

Summary of Award

 Type of Award:

Doctor of Philosophy (PhD)

Eligibility:

UK applicants only

First Class or Upper Second Class Honours degree or equivalent in a relevant subject area, please refer to the entry requirements on the specific projects being advertised

Location:

Huddersfield

Funding:

3 years full time research covering tuition fees and a tax free bursary (stipend) starting at £19,237 for 2024/25 and increasing in line with the EPSRC guidelines for the subsequent years.

Funded via the Engineering and Physical Sciences Research Council Doctoral Training Programme

Duration:

3 years Full-time plus 12 months writing up

(please note that no funding is available for the writing up period)

 

A novel in vitro model for studying drug responses

Revolutionising Glioblastoma research by developing a biomimetic organoid model, integrating AI, gene-editing, and tissue engineering 

Manufacturing recycled fibres from textile waste

Recycle and Synthesis polyester and cellulose fibres from textile waste

Therapeutic agents to target hypoxic tumours

Design and evaluation of novel cancer drugs targeting hypoxic tumour cells

A comparative performance of ASDs

The influence of route of manufacturing on the performance of amorphous solid dispersions (ASD)s

Polymer-based Materials for Biomedical Application

Chemically modified polymers will be created and analysed for their potential uses within healthcare

Computational Design of Enzyme Mimetic Agents

Computational drug design to identify and characterize the activity of enzyme mimetic agents. 

Sustainable green materials for drug delivery

Developing a new class of biomaterials using net carbon zero sustainable bio-circular economy protocols for drug delivery and wound healing applications 

Exploring novel photofunctional materials

Targeting novel strategies for the challenging development of sustainable photosensitisers based on Earth-abundant metal-ion complexes

Deciphering the anticancer mechanism of Fluoxetine

Exploring Fluoxetine's anticancer mechanism by identifying its molecular targets using innovative biorthogonal chemistry

Additive Manufacturing of Railway Crossings

Identification of material properties required to better withstand the high dynamic loads seen at railways switches and crossings 

AI systems for breast cancer detection

Addressing key computational challenges in breast cancer detection to improve the survival rate of patients

A control system for cryogenic sample preparation

Mathematical and statistical modelling of the sample preparation process for cryoelectron microscopy

Radiation damage in silicon carbide composites

Radiation damage study of innovative accident-tolerant fuel (ATF) cladding materials of SiC-based composites

In-line Surface Metrology for Roll to Roll (R2R)

Development of a next generation real-time metrology surface instrumenstation top upgrade R2R manufacturing processes to responsive mode 

Extended Reality (XR) Musical Interactions

This project investigates human-computer interaction in user-participatory musical performances within an extended reality (XR) framework

Material degradation

In-situ ion irradiation of nuclear materials exposed to corrosive liquid metals (Pb, Pb-Bi eutectic)

X-ray Computed Tomography Measurements

XCT Enhancement with Iterative Reconstruction 

Integrated Sensing and Communications for safe HRI

Sensing and context awareness for safe human-robot interaction (HRI)

Identifying causal factors for squat rail defects

Develop automated image processing algorithms to identify squats and grinding marks in photographs,

Enhancing Battery Reliability and Sustainability

Advancing Battery Sustainability with Inspection 

Enhancing Student Mental Health through AI

Design an AI system that intelligently monitors and predicts mental wellbeing of university students

AI Computer Vision with Ultra-Precision Machining

Integrating AI-Driven Computer Vision with Ultra-Precision Machining for Enhanced Manufacturing Accuracy and Efficiency

Advancing Wind Farm Digitalisation

Develop models and algorithms to estimate wind turbine parameters without relying on physical sensors

Mathematical modelling of pipe-flow measurement

Using mathematical modelling of pipe flow to improve techniques to measure flow types

Hybrid Machining Technologies

Enhancing Manufacturing Efficiency and Material Performance through Hybrid Machining (combination of additive and subtractive) Technologies 

Metaverse-enhanced Additive Manufacturing

Integrating Additive Manufacturing Simulation with Metaverse: A Digital Twin-based Approach 

Transparent antennas and metasurfaces

Develop millimetre-wave optically transparent antennas and metasurfaces

Implants in bone metastases patients

Developing optimised osseo-integration surfaces and understand how this relates with infectious biofilms in implants for immune-compromised patients

High-performance net zero micro gas turbines

Developing and validating CFD model for desing optimisation of gas turbine running with renewable fuels

Study of renewable fuels

Experimental and numerical investigation on combustion and emissions of carbon-neutral fuels in combustion engines

Manufacturing of biocomposites

Manufacturing of fibre-reinforced bio composites and utilising novel fibrous networks for functional apparels

Monitoring of Pressure Valves

Developing cyber-physical system for emissions-free valves in Hydrogen-energy and O&G.

Mechanical polishing process for space application

Developing a sensing system along cyber-physical system as well as multiscale model for developing digital monitoring system for mechanical polishing process 

Drug Delivery Systems to Target Brain Tumours

Designing intercranial drug delivery systems to prevent tumour recurrence following surgery to remove glioblastoma 

Enzyme engineering out with Natures toolkit

Creating non-natural CYP enzymes with alternative metals to expanding their catalytic scope

Artificial Intelligence Solutions for Supply Chain

Investigate explainable AI approaches to enhance the resilience of UK and global supply chains 

Advancing automated maintenance environments

Implementation of force sensors onto industrial robot arm (KUKA robots) to provide sensory feedback to perform maintenance tasks on delicate and fragile surfaces

3D-printed Biomedical Polymers

Gain insights into visco-plastic behaviour of 3D-printed polymers and biomechanics of teeth movement 

Privacy-Preserving Insider Threat Detection

Novel CPSs insider threat detection using AI privacy-preserving methods, integrating socio-technical approaches for enhanced security

Argument mining for text summarization

Argument mining in the context of legal decision making in the context of legal decision making

Optimising Event Log analysis with Large Language

Automate event logs analysis to detect security breaches and propose mitigative and preventative solutions 

Intelligent Monitoring of Hydrogen Energy Systems

Cyber-physical systems for acoustic-emission/vibration/ultrasonic measurement-based smart monitoring of pipelines/storage-tanks/vessels/valves 

Dexterous robotic manipulation using deep learning

Explore deep learning approaches on multimodal data to enable robots to manipulate complicated objects 

Effective Earthquake Early-Warning Alerts

Leveraging advanced time-series analysis and AI techniques for defining earthquake regions to inform Early-Warnings

Novel materials for additive manufacturing

Development and analysis of novel metal allows for extrusion additive manufacturing

Image-based characterisation of chemical damage

A novel approach to determining and characterising chemical damage in fabrics for criminal investigation 

4D Printing for Magnesium Alloy

Developing & validating additive manufacturing parameters for printing medical grade magnesium alloy