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Computational Material Science information

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 Tennessee? The most popular types of Computational Material Science jobs in Tennessee are:
What are popular job titles related to Computational Material Science jobs in Tennessee? For Computational Material Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Computational Material Science jobs in Tennessee look for? The top searched job categories for Computational Material Science jobs in Tennessee are:
Computational Material Science jobs near you
Infographic showing various Computational Material Science job openings in Tennessee as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.
Post-Doctoral Research Associate: Center for Advanced Materials and Manufacturing - UTK

Post-Doctoral Research Associate: Center for Advanced Materials and Manufacturing - UTK

The University of Tennessee

Knoxville, TN • On-site

$51K - $65K/yr

Full-time

Posted 25 days ago

Job description


The position of Postdoctoral Research Associate is open in the Center for Advanced Materials and Manufacturing, a NSF funded Materials Research Science and Engineering Center. Research will be performed under the supervision of Prof. Konstantinos Vogiatzis in the Department of Chemistry and Prof. Adrian Del Maestro in the Department of Physics at the University of Tennessee, Knoxville. The researcher will have a primary appointment in the Department of Chemistry and will work on synergistic projects related to AI-assisted simulations of quantum materials. All candidates must have successfully defended and submitted their dissertation before their employment date. The search starts immediately and continues until the position is filled.
The researcher will be responsible to develop, test, and deploy hybrid AI-assisted theoretical/computational modeling of quantum materials and collaborate with researchers from Physics, Materials Science, Chemistry, Mathematics, and Electrical Engineering. Research will involve feedback loops between theory and experiment, evaluating quantum materials design & growth and spectroscopy techniques such as neutron scattering and photoemission.
Responsibilities
  • The Center for Advanced Materials and Manufacturing (CAMM) focuses on applying AI to frontier problems in quantum materials.
  • The ideal postdoctoral research associate candidate will work on assigned research projects as well as mentor graduate and undergraduate students.
  • The postdoctoral research associate candidate must be knowledgeable and experienced in theoretical and computational chemistry, computational physics, and/or artificial intelligence and machine learning.
  • Responsible for presenting and reporting research results and publishing scientific results in peer reviewed journals in a timely manner.
  • Ensure compliance with environment, safety, health and quality program requirements.
  • Maintain strong commitment to the implementation and perpetuation of values and ethics.

Qualifications
Required Qualifications
  • Education: Must have successfully defended and submitted dissertation by hire date, Ph.D. in chemistry, physics, material science, computer science, or closely related field.
  • Experience:
    • An excellent track record of productive and creative research demonstrated by publications in peer reviewed journals.
    • Strong verbal and writing skills.
    • The candidate must be willing to work independently and collaboratively with group members, and preferably also with experimental collaborators.
  • Knowledge, Skills, Abilities: Ability to set priorities, multi-task and adapt to ever changing needs with the proven ability to function well in a fast-paced environment.

Preferred Qualifications
  • Experience: Research experience in artificial intelligence for quantum systems/materials.

Work Location
  • Knoxville, TN, on site

Compensation and Benefits
  • Anticipated hiring range: $51,750 - $65,000
  • Find more information on UT Benefits here

Application Instructions
Please complete the on-line application (https://hr.utk.edu/staff-positions) for full consideration. For best consideration, provide the following in the application file:
  • Cover letter
  • Curriculum vitae
  • Transcript
  • Applicants should arrange for two to three letters of recommendation to be sent directly to kvogiatz@utk.edu, with three letters preferred.

A review of all applications will begin immediately.
About The Department
The University of Tennessee in Knoxville is the flagship educational institution in the State of Tennessee, and the Department of Chemistry is its oldest PhD granting Department. We offer a long-standing tradition of excellence in chemical research and education, stretching from 1947, when the department granted the University's first PhD degree, to the present. We have people from diverse cultures providing an international business environment.
About Us
The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service.
UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory.
The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.
UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.
The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.
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