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Computational Science Postdoc information

What is a computational science postdoc?

A Computational Science Postdoc is a researcher who has completed their Ph.D. and is engaged in advanced research that uses computational methods to solve scientific problems. These postdoctoral researchers often work in interdisciplinary teams, applying techniques like modeling, simulation, and data analysis to fields such as physics, biology, engineering, or environmental science. Their work aims to advance scientific understanding by leveraging high-performance computing and complex algorithms. Computational Science Postdocs may also contribute to software development, publish research findings, and collaborate with experimental scientists.

What are the key skills and qualifications needed to thrive as a computational science postdoc?

To thrive as a Computational Science Postdoc, you need a strong background in computational modeling, programming, quantitative analysis, and typically a PhD in a relevant scientific or engineering discipline. Familiarity with high-performance computing (HPC) environments, programming languages such as Python, C++, or MATLAB, and experience with specialized simulation software are essential. Excellent problem-solving abilities, collaboration, and clear scientific communication set outstanding candidates apart. These competencies are crucial for advancing research, tackling complex scientific challenges, and effectively disseminating findings in multidisciplinary teams.

What are some common challenges faced by computational science postdocs when working on interdisciplinary projects?

Computational Science Postdocs often collaborate with researchers from diverse fields such as physics, biology, or engineering. A common challenge is bridging gaps in domain-specific knowledge while ensuring computational methods are robust and accessible to all collaborators. Effective communication and adaptability are essential for translating complex scientific problems into computational models. Additionally, managing differing expectations and timelines across disciplines can require strong organizational skills and proactive project management.

What are popular job titles related to Computational Science Postdoc jobs?

For Computational Science Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Computational Science Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

Computational Quantum Materials, Postdoctoral Research Fellow

Murfreesboro, TN • On-site

VS-Postdoc
See more jobs at VS-Postdocexternal

$43K - $58K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Computational Quantum Materials, Postdoctoral Research Fellow

2026-06-29

Job Title

Computational Quantum Materials, Postdoctoral Research Fellow

Department

Physics and Astronomy

Summary/Basic Function

The Department of Physics and Astronomy at Middle Tennessee State University invites applicants for a full-time, postdoctoral research fellow position (#L06010) as part of the Computational Quantum Materials group. This is a one-year temporary appointment with the possibility of renewal for up to two additional years. Renewal is contingent on performance, continued interest, and funding availability. The start date is as early as July 1, 2026.

Under the supervision of Dr. Hanna Terletska, the successful candidate will actively collaborate with Dr. Thomas Maier and Dr. Tom Berlijn at Oak Ridge National Laboratory, including research visits to the laboratory, as part of a DOE RENEW TN-QuMat‑funded project.

The highly qualified candidate will have expertise in theoretical and computational many‑body physics, particularly in modeling and simulating quantum materials with strong correlations, disorder, and electron‑phonon interactions. The ideal candidate will have experience in many‑body quantum physics, ab‑initio methods, Monte Carlo calculations, and numerical method development.

Required Education

A terminal degree in physics, chemistry, material science, quantum information systems, or a closely related field is required by the appointment date.

Other Desirables

Applicants with expertise in many‑body simulations (DMFT, DCA, DCA++, CPA, DMRG), ab‑initio modeling, and machine learning will receive special consideration. Also, those with experience with machine learning techniques will receive special consideration.

Documents Needed to Apply

To successfully apply, applicants must include a cover letter, curriculum vitae, and research statement (as appropriate to the discipline) during the online application process.

Benefits

MTSU offers a comprehensive benefits package, including but not limited to the following:

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

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

Eligibility and Legal Requirements

Proof of U.S. citizenship or eligibility for U.S. employment is required before employment (Immigration Control Act of 1986). Clery Act crime statistics for MTSU are available at https://police.mtsu.edu/annual-security-report/ or by contacting MTSU Public Safety at (615) 898-2424.

MTSU is a Tobacco & Drug-Free campus.

This position requires a criminal background check. Therefore, you will be required to provide information about your criminal history to be considered.

For individuals requiring reasonable accommodation to apply: In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation to apply for a position with MTSU, please call 615-898-2929 or email emp@mtsu.edu.

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