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Internship Computational Material Science Jobs in Reno, NV

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Physical Chemistry Tutor

Reno, NV · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

... science and technology sector. In this role, you'll apply your expertise to help train next ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

... science and technology sector. In this role, you'll apply your expertise to help train next ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

Assistant Professor

Reno, NV · On-site

$75 - $90/hr

... Clinical Science by start date * completion of an APA/CPA-accredited internship by start date ... Shared research facilities include high-density EEG, 3T MRI, fMRI, fNIRS, and computational ...

Applied Mathematics Tutor

Reno, NV · Remote

$18 - $40/hr

... and computational science applications. * Conceptual Teaching & Problem-Solving: Skilled at ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

AI Training Specialist - Physics

Reno, NV · On-site +1

$80 - $150/hr

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Materials). * Experience as a postdoctoral researcher, research fellow, junior/assistant professor ...

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Internship Computational Material Science information

See Reno, NV salary details

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

As of Aug 24, 2026, the average hourly pay for internship computational material science in Reno, NV is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.87 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 Reno, NV are hiring for Internship Computational Material Science jobs?

Cities near Reno, NV with the most Internship Computational Material Science job openings:

Computational Physics Specialist - Remote

micro1 AI

Sparks, NV • Remote

$80 - $140/hr

Part-time

Posted 22 days ago


Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).