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Day Computational Material Science Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

... of computational materials science and machine learning. Required Qualifications - Ph.D. in ... business days prior to the event. Advertised: May 13, 2026 Applications close: Back to search ...

Booz Allen Hamilton

Material Chemist

Lorton, VA · On-site

$69K - $158K/yr

Specifically, the focus is around material science and chemical technologies. You will work on ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

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Day Computational Material Science information

What are the key skills and qualifications needed to thrive as a computational material scientist?

To thrive as a Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by a relevant advanced degree (MSc or PhD). Expertise with simulation software such as VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages like Python or Fortran, is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with interdisciplinary teams and presenting complex data. These skills are crucial for driving innovation, accurately modeling materials, and translating computational results into real-world applications.

What are some common challenges faced by professionals in day computational material science roles, and how can they be addressed?

Professionals in Day Computational Material Science often encounter challenges such as managing large datasets, integrating experimental and simulation results, and keeping up with rapid advancements in computational methods. Addressing these challenges requires strong collaboration with experimentalists, continual learning to stay updated on new software and algorithms, and effective time management to balance multiple projects. Leveraging open-source tools and participating in interdisciplinary teams can also help overcome technical hurdles and enhance research outcomes.

What is a computational material scientist?

A Computational Material Scientist is a professional who uses computer simulations and theoretical models to study and predict the properties and behaviors of materials. They utilize advanced software and high-performance computing to analyze materials at the atomic or molecular level, helping to design new materials with specific characteristics. Their work supports advancements in fields like electronics, energy, aerospace, and manufacturing by enabling faster and more cost-effective material development compared to traditional experimental methods.

What is the difference between Day Computational Material Science vs Day Materials Engineer?

AspectDay Computational Material ScienceDay Materials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or related fieldsBachelor's or Master's in materials engineering or related disciplines
Work EnvironmentPrimarily research labs, computational environments, and simulation softwareDesign, testing, and manufacturing settings, often in industrial or construction sites
Employer & Industry UsageResearch institutions, universities, R&D departments of tech and manufacturing firmsManufacturing companies, construction firms, product development teams

Day Computational Material Science focuses on computer-based simulations and modeling to understand material properties, while Day Materials Engineer involves practical application, testing, and development of materials in real-world settings. Both roles require strong technical knowledge but differ mainly in their work environment and daily tasks.

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 cities in Virginia are hiring for Day Computational Material Science jobs? Cities in Virginia with the most Day Computational Material Science job openings:
Day Computational Material Science jobs near you

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

Hampton University Faculty

Hampton, VA • On-site

$64K/yr

Full-time

Posted 23 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