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$10

$18

$27

How much do internship computational material science jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship computational material science in Markham, IL is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.81 per hour, depending on experience, location, and employer.

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.

What types of projects and collaborations can I expect during an internship in computational material science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an intern in computational material science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.

What cities near Markham, IL are hiring for Internship Computational Material Science jobs?

Cities near Markham, IL with the most Internship Computational Material Science job openings:

Internship Computational Material Science jobs near you

Assistant Computational Chemist / Chemical Engineer - Catalysis

Argonne National Laboratory

Lemont, IL

$94K - $147K/yr

Full-time

Re-posted 4 days ago

Job description

The Chemical Sciences and Engineering Division at Argonne National Laboratory invites applications for a regular, full-time AssistantComputational Chemist / Chemical Engineerposition. The successful candidate will lead and contribute to computational research inelectrocatalysisandheterogeneous catalysis, working closely with experimental collaborators to advance fundamental understanding and catalyst design.

This role involves conductingmultiscale modeling,spectroscopy simulations, and the development ofmachine learning methodsandautomated workflowsformulti-fidelity, multiscale, and multiphysics simulations. The research will be closely integrated with corresponding experimental efforts.

Key Responsibilities

  • Perform computational studies in electrocatalysis and heterogeneous catalysis

  • Develop and apply multiscale modeling approaches to catalytic systems

  • Conduct spectroscopy simulations, including techniques such asXANES, EXAFS, and Mossbauer spectroscopy

  • Develop and implement machine learning methods and automated workflows for complex catalytic simulations

  • Collaborate closely with experimental researchers to interpret results and guide catalyst development

  • Contribute to proposal development and funding applications

  • Mentor postdoctoral researchers and graduate students

Position Requirements

  • Ph.D.inphysical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a related field, along with3-6 years of postdoctoral research experience

  • Comprehensive understanding ofquantum mechanicsandcatalysis

  • Extensive experience inheterogeneous thermal catalysisandelectrocatalysis, including:

    • catalyst design

    • mechanistic studies

    • microkinetic modeling

    • reactor modeling

  • Strong computational expertise in applyingquantum mechanical methodsto determine electronic structure, catalytic properties, and reaction mechanisms

  • Demonstrated experience inspectroscopy simulations, includingXANES, EXAFS, and Mossbauer spectroscopy

  • Proficiency inPythonand relevant computational platforms

  • At least1-2 years of experienceadapting and implementingAI/ML methods in catalysis, including:

    • machine learning interatomic potentials

    • agentic workflows

  • Experience inproposal writingandfunding applications

  • Experience mentoringpostdoctoral researchersandgraduate students

  • Excellentwritten and oral communication skills

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications

  • Experience withPGM-free oxygen reduction reaction (ORR) catalysts

  • Experience withCO reduction catalysis

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent

Job Family

Research Development (RD)

Job Profile

Chemistry 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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