26.07.14 Postdoctoral Research Associate in Computational Materials Science

Position Details

The appointment is for one year and is renewable based on satisfactory performance and the availability of external research funding. Competitive salary and benefits are available in accordance with university policies.

Required Qualifications

• Ph.D. in Chemical Engineering, Materials Science and Engineering, Physics, Chemistry, Computational Materials Science, or a closely related discipline.
• Demonstrated expertise in molecular dynamics simulations using LAMMPS.
• Experience performing density functional theory calculations using VASP.
• Strong background in atomistic modeling of crystalline materials, minerals, ceramics, metals, or solid-state materials.
• Experience working in Linux/Unix computing environments and high-performance computing (HPC) clusters.
• Knowledge of artificial intelligence (AI), machine learning (ML), or data-driven materials science.
• Experience applying AI/ML methods to computational chemistry, molecular simulations, or materials informatics is highly desirable.
• Programming experience in Python, Bash, or similar scripting languages.
• Excellent written and oral communication skills, with a strong publication record.

Application Materials

Applicants should submit a single pdf to Dr. Zhang at liqun.zhang^hamptonu.edu. The PDF file should include:

• A cover letter describing research interests and relevant experience.
• A current curriculum vitae, including a list of publications.
• Contact information for three professional references.
• Up to three representative publications.