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Computational Material Science Jobs in Tennessee

Thecentermemphis

Senior Computational Engineer

Memphis, TN · On-site

$93K - $128K/yr

Success in this role requires deep and diverse expertise in computer science and computational ... Develop and provide documentation and training materials on applications, tools, and pipelines ...

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Computational Material Science information

What is a computational material science?

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 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 key skills and qualifications needed to thrive in computational material science?

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 jobs can I get with a computational material science degree?

A computational material science degree prepares individuals for roles such as materials scientist, computational researcher, or simulation engineer. These jobs often involve using modeling software, programming skills, and knowledge of materials properties to develop new materials or improve existing ones in industries like aerospace, electronics, and energy. Additional certifications or experience with tools like MATLAB, Python, or molecular dynamics software can enhance job prospects.

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Computational Materials and Chemistry, Postdoctoral Research Fellow

Murfreesboro, TN • On-site

Middle Tennessee State University
Colleges, Universities, and Professional Schools • 1 - 5K employees
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This job post has expired today. Applications are no longer accepted.

Middle Tennessee State University rating

7.0

Company rating: 7.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Job Title

Computational Materials and Chemistry, Postdoctoral Research Fellow

Department

Chemistry

University Expectation

MTSU seeks candidates committed to innovative teaching and meaningful service. We also seek to attract culturally and academically diverse faculty who value working with diverse students.

Salary

The salary is commensurate with education and experience.

Job Summary/Basic Function

The Department of Chemistry at Middle Tennessee State University invites applications for a full-time postdoctoral research fellow position in computational materials and chemistry. This is a one-year temporary appointment with the possibility of renewal for an additional year. The start date is as early as August 1, 2026.

Dr. Zhen Jiang’s research focuses on computational chemistry and materials theory, with particular interests in reaction mechanisms, ion/electron transport in catalytic and energy materials, and data-driven materials design. The group combines first-principles calculations (DFT), multiscale modeling, high-throughput computation, and machine learning to study and rationally design novel catalytic and energy materials.

The group’s long-term research directions include:

  • Reactivity in bulk materials and interfaces.
  • Reaction mechanism modeling.
  • Machine-learning-assisted materials design.
  • Machine-learning-assisted development of kinetic methods.
  • Materials database construction and data mining.

Related work has been published in leading international journals, including Science, Nature Energy, Nature Materials, Journal of the American Chemical Society, Advanced Materials, and ACS Catalysis. The group also maintains long-term collaborations with multiple experimental and theoretical research teams in both the United States and China.

Personal Website: https://zhenjiang16.github.io/Homepage/

Google Scholar: https://scholar.google.com/citations?user=252n0esAAAAJ&hl

The successful candidate will have the following:

  • Solid background in first-principles calculations or materials modeling (such as VASP, Quantum ESPRESSO, etc.)
  • Good Python programming skills
  • Experience in high-throughput computation, data analysis, or machine learning
  • Demonstrate strong research independence
Required Education

A terminal degree in materials science, chemistry, computer science, condensed matter physics, or a closely related interdisciplinary field is required by the appointment date.

Other Desirables

Applicants familiar with defect calculations, band structure/density of states analysis, phase stability, or transport property calculations and who have published SCI-indexed papers in computational materials science or AI for Materials will receive special consideration.

Benefits

Comprehensive benefits package includes:

  • Sick Leave
  • Vacation Leave for Administrative/Classified Staff/12-month Faculty
  • 13 paid University holidays
  • Medical, dental, vision, and life insurance
  • Retirement plans
  • Optional 401K and 403B Deferred Compensation Plans
  • Educational benefits for the employee and their spouse and dependents

MTSU is an equal opportunity employer. All qualified individuals are encouraged to apply.

Proof of U.S. citizenship or eligibility for U.S. employment is required before employment. MTSU is a Tobacco & Drug-Free campus.

This position requires a criminal background check.

For individuals requiring reasonable accommodation to apply, please call 615-898-2929 or email emp@mtsu.edu.

Application Review Date: 04/08/2026

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