PhD – AI-Enhanced 3D Atomic-Scale Imaging of Nano-catalytic Materials for Clean Energy Conversion

Artificial Intelligence, Clean Energy, Electron Microscopy, Machine Learning, Materials Science, Nanomaterials
Coventry, United Kingdom
11 July 2026
Full Time PhD Scholarship

Job Description

Organization: Aston University (Net2Zero Centre for Doctoral Training)

Host Institution: University of Warwick

Location: Coventry, United Kingdom

Programme: PhD (4 Years)

Funding: Fully Funded UKRI Studentship

Project Overview

This PhD project aims to develop AI-enhanced multi-slice 4D Scanning Transmission Electron Microscopy (4D STEM) methodologies for three-dimensional atomic-scale imaging of nano-catalytic materials used in clean energy conversion. The research will focus on revealing surface and subsurface structural dynamics of electrocatalysts during operation to improve catalyst performance and durability.

The project combines advanced electron microscopy with artificial intelligence and machine learning techniques to reconstruct, analyse, and interpret large 4D STEM datasets under low-dose imaging conditions. Deep learning models will enhance image reconstruction, while machine learning algorithms will identify structural defects and correlate them with catalytic activity.

Research Areas

  • 4D Scanning Transmission Electron Microscopy (4D STEM)
  • Artificial Intelligence and Machine Learning
  • Atomic-scale Materials Characterisation
  • Electrocatalysis and Clean Energy Materials
  • Nanomaterials for Net-Zero Technologies

Supervisors

  • Dr Peng Wang
  • Prof. Sai Gu

Essential Qualifications

  • First-class or strong upper second-class degree (or equivalent) in Physics, Materials Science, Chemistry, or related field.
  • Knowledge of solid-state physics, nanomaterials, or catalytic materials.
  • Hands-on laboratory or computational experience in microscopy or image/data analysis.
  • Strong analytical, computational, and problem-solving skills.
  • Excellent written and verbal scientific communication skills.
  • Strong interest in advanced microscopy, sustainable energy materials, and emerging imaging technologies.

Desirable Qualifications

  • Experience with electron microscopy.
  • Programming experience in Python, MATLAB, or machine learning frameworks.
  • Background in catalysis or beam-sensitive functional materials.

Funding

  • Fully funded 4-year PhD studentship.
  • Tax-free UKRI stipend of £21,805 per year (2026/27 rate).
  • Full tuition fees.
  • Research Training Support Grant.
  • Three-month placement with industry, research collaborators, or policymakers.

Eligibility

This opportunity is available only to applicants who qualify for UK Home fee status. Applications from international candidates are not eligible.

Application Process

Applicants should submit an Expression of Interest including academic transcripts, certificates, research background, motivation statement, and supporting documents. Shortlisted candidates will be invited to interview before submitting a formal university application.

Location

Related Jobs