CV

Contact Information

Name Chaiyawat Kaewmeechai
Professional Title Postdoctoral Researcher
Email c.kaewmeechai[at]bham.ac.uk
Location School of Chemistry, Birmingham, B15 2TT

Professional Summary

Computational materials physicist specialising in defects, disorder and charge trapping in wide-bandgap oxide semiconductors using DFT, molecular dynamics and machine-learning interatomic potentials.

Experience

  • 2025 -

    Birmingham, UK

    Postdoctoral Researcher (Supervisor: Prof. David O. Scanlon)
    Scanlon Materials Theory Group, University of Birmingham
  • 2021 - 2025

    London, UK

    PhD Researcher (Supervisor: Prof. Alexander L. Shluger)
    University College London
    Investigated point defects, charge trapping and oxygen interstitials in crystalline and amorphous Ga₂O₃.
  • 2019 - 2020

    Chiang Mai, Thailand

    Research Assistant
    Chiang Mai University

Education

  • 2021 - 2025

    London, UK

    PhD
    University College London (UCL)
    Condensed Matter and Materials Physics
    • Defect modelling in crystalline and amorphous Ga₂O₃ (Supervisor: Prof. A. L. Shluger)
  • 2017 - 2019

    Chiang Mai, Thailand

    MSc
    Chiang Mai University
    Physics
  • 2013 - 2017

    Chiang Mai, Thailand

    BSc
    Chiang Mai University
    Physics

Teaching

  • 2022 - 2023

    London, UK

    Computational Physics
    University College London
    Teaching Assistant (demonstrator).
  • 2022 - 2024

    London, UK

    Electromagnetic Theory
    University College London
    Teaching Assistant (problem-solving demonstrator, marking).
  • 2023 - 2024

    London, UK

    Practical Physics and Computing 1 (Python)
    University College London
    Teaching Assistant (demonstrator).
  • 2023 - 2024

    London, UK

    Linear Algebra and Vector Calculus
    University College London
    Teaching Assistant (problem-solving demonstrator).

Skills

Programming (Advanced): Python, C/C++, Bash, MATLAB, Linux/HPC, SLURM
DFT codes (Advanced): Quantum ESPRESSO, CP2K, ABINIT, VASP
Molecular dynamics (Advanced): LAMMPS, AIMD, machine-learning force fields
Scientific Python (Advanced): NumPy, SciPy, ASE, pymatgen, matplotlib

Languages

Thai : Native speaker
English : Fluent (academic and professional)

Interests

Materials Physics: Defects, polarons, wide-bandgap semiconductors, amorphous solids, machine-learning potentials