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Computational Material Science information

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How much do computational material science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for computational material science in Virginia is $75,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,846.00 and $98,225.00 per year, depending on experience, location, and employer.

What is a Computational Material Science job?

A Computational Material Science job involves using computer simulations, modeling techniques, and data analysis to study and predict the properties of materials. Professionals in this field leverage methods like density functional theory (DFT), molecular dynamics, and machine learning to design new materials and optimize existing ones for various applications, including electronics, energy, and manufacturing. They often work in academia, research institutions, or industries such as aerospace, semiconductors, and pharmaceuticals. The role requires expertise in materials science, physics, chemistry, and programming, typically using tools like Python, MATLAB, or specialized simulation software.

What are the key skills and qualifications needed to thrive in the Computational Material Science position, and why are they important?

To thrive in Computational Material Science, you need a strong background in materials science, physics, and computational modeling, usually supported by an advanced degree such as a Master's or Ph.D. Proficiency with simulation software (like VASP, LAMMPS, or Quantum ESPRESSO), high-performance computing environments, and programming languages like Python or C++ is often required. Strong analytical thinking, problem-solving ability, and effective teamwork and communication skills help set professionals apart in this field. These skills are essential for designing, analyzing, and optimizing materials using computational techniques, often as part of collaborative, interdisciplinary research teams.

What are some typical daily tasks for a Computational Material Science professional?

Daily tasks for a Computational Material Science professional often include developing and running computer simulations to investigate material properties, analyzing data from these simulations, and collaborating with experimental scientists to compare computational predictions with laboratory results. You may spend significant time programming, writing reports, and presenting your findings to colleagues or industry partners. You'll typically work within a multidisciplinary team, where clear communication and project coordination are crucial. The balance between independent computational work and collaborative meetings helps ensure innovative solutions to complex material challenges.

What are the most commonly searched types of Computational Material Science jobs in Virginia? The most popular types of Computational Material Science jobs in Virginia are:
What are popular job titles related to Computational Material Science jobs in Virginia? For Computational Material Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Material Science jobs in Virginia look for? The top searched job categories for Computational Material Science jobs in Virginia are:
What cities in Virginia are hiring for Computational Material Science jobs? Cities in Virginia with the most Computational Material Science job openings:
Computational Material Science jobs near you
Infographic showing various Computational Material Science job openings in Virginia as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $75,260 per year, or $36.2 per hour.

Postdoctoral Research Associate in Computational Materials Science - Department of Chemical Engineer

Hampton University Faculty

Hampton, VA • On-site

$64K/yr

Full-time

Posted 7 days ago

Job description

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.
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.
Salary based on qualifications $64,000
Application Materials
Applicants should submit a single pdf to Dr. Zhang at liqun.zhang@hamptonu.edu. The PDF file should include:
  1. A cover letter describing research interests and relevant experience.
  2. A current curriculum vitae, including a list of publications.
  3. Contact information for three professional references.
  4. Up to three representative publications.

Review of applications will begin immediately and continue until the position is filled.

Apply