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Job Description

A postdoc position is available in the Department of Materials Science and Engineering at the National University of Singapore under the direction of Dr. Peichen Zhong. This role involves using DFT, molecular dynamics, and machine learning to model solid-state materials while collaborating with experimentalists.

Qualifications

• Ph.D. in Computational Physics/Materials Science, or related field (completed by start date).
• Required Skills:
1. Strong background in statistical mechanics and thermodynamics
2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM).
3. Proficiency in at least one mainstream deep learning framework (PyTorch or JAX)
4. Ability to independently design and execute research projects, with a track record of high-quality publications.
5. Strong oral and written communication skills in English.
• Preferred Experience:
1. Expertise in high-throughput computation and data management.
2. Development of interatomic potentials based on machine learning or classical force fields.
3. Familiarity with open-source coding practices (GitHub/GitLab).