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Entry Level Computational Material Science Jobs (NOW HIRING)

Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science)

Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science)

Senior Material Scientist

Cambridge, MA · On-site

$50K - $141K/yr

Expertise in one or more of these technical areas: powder metallurgy, sintering, alloy design, computational materials science, and/or relevant metallurgical characterization methods. Culture We do ...

Your work will contribute to advancements in areas such as materials science, energy, aerospace, or ... Develop custom computational tools and optimize existing codes for high-performance computing (HPC)

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

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How much do entry level computational material science jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for entry level computational material science in the United States is $20.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.12 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Computational Material Science jobs? The most popular types of Computational Material Science jobs are:
Infographic showing various Entry Level Computational Material Science job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 75% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,262 per year, or $20.3 per hour.
Research Associate in Materials Science and Engineering

Research Associate in Materials Science and Engineering

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 25 days ago


University Of Virginia rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

192nd of 535 rated colleges and universities


Job description

The Ke Research Group in the Department of Materials Science and Engineering at the University of Virginia is seeking applicants for a Postdoctoral Research Associate position in computational materials science and theoretical condensed matter physics, with a focus on strongly correlated materials, especially rare-earth systems.
The successful candidate will work on fundamental research projects in rare-earth magnetic materials, including permanent magnets and quantum materials, with emphasis on analytical modeling, first-principles electronic-structure methods, rare-earth 4f physics, crystal-field effects, high-throughput materials discovery, and machine-learning-assisted materials design.
RESPONSIBILITIES:
  • Develop theoretical methods and computational approaches for strongly correlated rare-earth materials
  • Perform and analyze ab initio calculations for strongly correlated systems
  • Develop automated workflows for materials screening and property prediction
  • Collaborate with experimental and theoretical partners across groups and institutions to interpret results and guide materials discovery
  • Prepare manuscripts, present research results, and contribute to project reports and proposals
  • Mentor graduate and undergraduate students as appropriate

REQUIRED QUALIFICATIONS:
  • Ph.D. in physics, materials science, chemistry, or a related field by the start date
  • Research experience in electronic-structure theory or computational condensed matter physics, demonstrated by first-author publications

PREFERRED QUALIFICATIONS:
Candidates with experience developing or implementing computational methods, rather than only running standard DFT calculations, are especially encouraged to apply. Experience in one or more of the following areas is desirable:
  • Strongly correlated electron systems
  • Rare-earth and 4f-electron physics
  • Magnetism, magnetic anisotropy, and spin-orbit coupling
  • High-throughput computational workflows
  • Machine learning for materials discovery
  • Development or implementation of novel electronic-structure methods
  • Strong programming skills and experience with HPC environments
  • Strong written and oral communication skills

APPLICATION PROCEDURE:
Apply online at https://jobs.virginia.edu/us and search for R0083822. Attach the following documents: a cover letter, a curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE:
Review of applications will begin on June 13, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.
For questions about the position, please contact Liqin Ke, Associate Professor, at uvn6ns@virginia.edu .
For questions regarding the application, please contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819