PhD student in Theoretical Physics
Core
Research on first-principles modelling of point defects in semiconductor materials using quantum-mechanical methods combined with machine-learning approaches.
Role type
PhD student in Theoretical Physics
Builds
Research outputs on functional materials, including semiconductors and energy materials
Domain
Condensed matter physics / Computational materials science
Deliverable
research
Required skills
Quantum mechanics, Statistical physics, Computational physics, First-principles electronic-structure methods, Defect physics in semiconductors, Machine learning applied to physical systems, High-performance computing, Programming (Python, Fortran, C/C++)
Preferred skills
Thermodynamics, Scientific computing
Responsibilities
Conduct doctoral research on point defects in alloyed, disordered, and finite-temperature materials; perform teaching or departmental duties up to 20% of full-time
Seniority
PhD Candidate
