Home PhD PhD Scholarship in 2D Quantum Materials – University of Manchester, UK

PhD Scholarship in 2D Quantum Materials – University of Manchester, UK

Postdoctoral Position in UK United Kingdom

Summary

The University of Manchester invites applications for a fully funded 3.5-year PhD Studentship in Theoretical Condensed Matter Physics under the project “Neural Quantum States for Automated Discovery of Emergent Quantum Phases in Two-Dimensional Materials.”
This project develops advanced computational frameworks combining density functional theory, machine learning, and neural quantum states (NQS) to discover and characterize emergent quantum phases in twisted and layered 2D materials. The research is based at the National Graphene Institute, offering access to a world-leading environment in quantum materials research.

PhD Scholarship in Neural Quantum States & 2D Quantum Materials – University of Manchester, UK


Designation

PhD Studentship (DKO Fellowship Award)


Scholarship Details

ParticularsDetails
PositionPhD Studentship – Neural Quantum States in 2D Materials
InstitutionUniversity of Manchester
DepartmentPhysics and Astronomy
Research ThemeTheoretical Condensed Matter Physics
Duration3.5 Years
Start DateOctober 2026
LocationManchester, United Kingdom
Funding TypeDKO Fellowship (Fully Funded)
Stipend£21,805 per year (UKRI rate, tax-free; annual uplift expected)
Tuition FeesFully Covered
Application Deadline31 May 2026
Application Portaluom.link/pgr-apply-2425

Research Area

  • Theoretical Condensed Matter Physics
  • Quantum Materials & 2D Materials
  • Neural Quantum States (NQS)
  • Machine Learning in Physics
  • Many-Body Quantum Systems
  • Density Functional Theory (DFT)
  • Moiré and Van der Waals Heterostructures
  • High-Performance Scientific Computing
  • Emergent Quantum Phases

Location

Manchester
National Graphene Institute, University of Manchester, UK


Eligibility / Qualification

Applicants should have or expect to achieve:

Essential Requirements

  • Minimum 2:1 Bachelor’s degree or Master’s degree (or equivalent) in:
    • Physics
    • Applied Physics
    • Materials Science
    • Mathematics
    • Engineering or related disciplines
  • Strong interest in:
    • Quantum materials
    • Theoretical or computational physics
  • Basic programming or computational skills are highly desirable

Preferred Skills

  • Knowledge of condensed matter physics
  • Experience with electronic structure methods (DFT, tight-binding models)
  • Familiarity with machine learning or scientific computing
  • Interest in high-performance computing (HPC)

Job Description

The PhD candidate will develop an advanced computational pipeline for discovering and characterizing emergent quantum phases in 2D materials.

Key Research Tasks

  • Electronic structure modeling
    • Use DFT and Wannier-based tight-binding methods
    • Construct realistic models of twisted and layered materials
  • Many-body quantum simulations
    • Apply Neural Quantum States (NQS) methods
    • Solve interacting electron systems beyond traditional methods
  • Automated phase discovery
    • Predict energies, band gaps, correlation functions
    • Identify quantum phase boundaries and emergent states
  • Materials exploration
    • Study moiré systems and van der Waals heterostructures
    • Investigate phenomena such as:
      • Correlated insulating states
      • Charge order
      • Fractional Chern phases
  • Computational framework development
    • Build automated pipelines combining ab-initio and machine learning methods
    • Develop scalable tools for quantum materials discovery

Scholarship Benefits

  • Fully funded PhD (tuition fees covered)
  • Annual tax-free stipend: £21,805 (UKRI rate, 2026/27)
  • 3.5 years of funding
  • Access to high-performance computing facilities
  • Research at the National Graphene Institute
  • Collaboration with leading experimental and theoretical physicists
  • Opportunity to contribute to cutting-edge quantum materials discovery
  • Strong interdisciplinary research environment

How to Apply

Application Process

Apply online via:
👉 uom.link/pgr-apply-2425

Before Applying

Candidates are strongly advised to contact the supervisor:

Dr. James McHugh
📧 james.mchugh@manchester.ac.uk

Applicants should include:

  • Current academic status
  • Academic background
  • Relevant experience
  • A short motivation statement for the PhD project

Last Date for Apply

📅 31 May 2026

Early application is strongly recommended as the position may close before the deadline.


Link

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