We are currently advertising 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.

The Expression of Interest form and further details are available below

Queries about the application process are welcome and should be directed by email to pgrscholarships@hud.ac.uk.

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)


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




3 years full time research covering tuition fees and a tax free bursary (stipend) starting at £16,062 for 2022/23 and increasing in line with the EPSRC guidelines for the subsequent years.

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


3 years Full-time plus 12 months writing up

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

Closing date:

11 July 2022

Start date:

1 October 2022

Application details

  • Complete the Expression of Interest Form 2022
  • Provide copies of transcripts and certificates of all relevant academic and/or any professional qualifications.
  • Provide references from two individuals

Completed forms, including all relevant documents should be submitted via-email to pgrscholarships@hud.ac.uk

Please note: if you do not attach all the relevant documentation prior to the closing date of 30 April 2022 your application will not be considered.

Interviews are expected to take place from the week commencing 6 June 2022.

Multi-metasurface optical instrumentation

Multi-metasurface optical instrumentation designed using AI approaches

Smart multi-sensor

Smart multi-sensor high dynamic in-situ measurement platform for layer monitoring of EBAM process

Robotic Processing of Complex Surfaces

Robotic Processing of Complex Surfaces from Additive Manufacturing

Focus Variation Sensors for optical metrology

Miniaturising focus variation sensors for optical metrology using metalenses

Multi-functional metasurfaces

Next generation nano-photonics driven multi-functional metasurfaces for micro-deflectometry application

Additive Manufacturing of Ti Alloys

Additive Manufacturing of Ti Alloys Using by a newly patented NeuBeam Technology

AI designed robust-Metasurfaces

AI designed robust-Metasurfaces for future manufacturing applications

Dynamic information flow in digital manufacturing

A general framework to support dynamic information flow in digital manufacturing

Novel integrated modelling process

Development of a novel integrated modelling  process of pressure, shear, and friction in relation to device related pressure injury.

Modelling railway ballast using physics engines

Discrete element modelling of interacting ballast particles in railway track using off-the-shelf physics engines

STEP-NC Enabled AM Digital Thread

A STEP-NC Enabled Digital Thread for Closed-loop Quality Control of Additive Manufacturing

Artificial Intelligence (XAI) Technique

An eXplainable Artificial Intelligence (XAI) Technique for Diagnosing Mental Health Disorders

3D Volumetric Filtration in XCT Metrology

3D Volumetric Filtration in XCT Metrology for Additively Manufactured Parts

Knowledge capture from manufacturing big data

Knowledge capture from manufacturing big data using a deep learning method

Ultra-precision machining

Machine learning-assisted ultra-precision machining of functional structured surfaces

Structured-light Enhanced Stereo Vision System

Structured-light Enhanced Stereo Vision System for AR Spatial Mapping

Smart maintenance of rolling stock

Integration of artificial intelligence (AI) and robotics for smart maintenance of rolling stock

Nuclear fuel cladding materials

Radiation response of advanced nuclear fuel cladding materials coated with MAX phases

In-line Surface Metrology

In-line Surface Metrology for Responsive Roll to Roll (R2R) Manufacturing of Flexible Electronics