Qualifications:



Qualifications
1. Academic Background:
Master or PhD degree in Physics, Chemistry, Mathematics, Materials Science and Engineering, Computer Science, AI, or a closely related field.
2. Technical Expertise:


● Familiar with the operation, maintenance, and troubleshooting of Scanning Electron Microscopes (SEM).
● Advanced experience in atomic-scale modeling with classical molecular simulation (e.g., LAMMPS, Material Studio), ab initio simulations (e.g., Gaussian, VASP, Quantum Espresso), or finite element simulations (e.g., COMSOL).

3. Language Skills:
Proficiency in both written and spoken English (and if also Chinese it will be considered an added value).
4. Interpersonal and Organizational Skills:


● Strong time management, communication, and interpersonal abilities.
● Demonstrated teamwork spirit and problem-solving capabilities.

5. Student Supervision:
Experience in mentoring and supervising students is preferred.
6. Research Output:
A strong publication record in computational materials science, particularly with VASP and machine learning-based approaches, is desirable.