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Part Time Computational Material Science Jobs in Phoenix, AZ

Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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Part Time Computational Material Science information

What are some typical projects or tasks a part time computational material scientist might work on, and how is work typically structured within a part time schedule?

As a part-time computational material scientist, you can expect to work on focused projects such as running simulations to predict material properties, analyzing data from computational experiments, or assisting in the development of new algorithms and models. Tasks often include collaborating remotely with full-time researchers, attending virtual meetings, and preparing reports or presentations on your findings. The workload is typically structured to fit your availability, allowing you to contribute to ongoing research while balancing other commitments. Communication and flexibility are key, as you may coordinate with multidisciplinary teams and adjust priorities based on project needs.

What are the key skills and qualifications needed to thrive as a part time computational material science professional, and why are they important?

To thrive as a Part Time Computational Material Science professional, you need a solid background in materials science, physics, or engineering, often supported by a relevant degree and experience with computational modeling. Familiarity with tools such as Density Functional Theory (DFT) software, molecular dynamics packages, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills. These capabilities enable effective research, accurate simulations, and collaboration within interdisciplinary teams, driving innovation and advancement in materials development.

What is the difference between Part Time Computational Material Science vs Part Time Materials Engineer?

AspectPart Time Computational Material SciencePart Time Materials Engineer
Required CredentialsTypically requires a degree in materials science, physics, or engineering; familiarity with computational toolsRequires a degree in materials science, mechanical engineering, or related field; practical experience in materials testing
Work EnvironmentPrimarily office-based, using simulation software and data analysis toolsLaboratory or manufacturing settings, performing experiments and material testing
Industry UsageUsed in research, development, and simulation-focused roles within tech and manufacturing sectorsApplied in product development, quality control, and manufacturing processes

Part Time Computational Material Science focuses on computer-based simulations and modeling of materials, ideal for research roles. In contrast, Part Time Materials Engineer involves hands-on testing and practical application in labs or production environments. Both roles require a background in materials science but differ in work setting and daily tasks.

What is a part time computational material science?

A part-time computational material science job involves using computer-based simulations and modeling to study and predict the properties and behaviors of materials, but on a reduced or flexible work schedule. Professionals in this role may work on projects such as developing new materials, optimizing existing materials, or supporting experimental research with computational insights. These jobs are ideal for students, researchers, or professionals who need flexible hours, and often require knowledge of programming, materials science, and simulation software. Tasks can include running simulations, analyzing data, and preparing reports or presentations based on findings.

What are the most commonly searched types of Computational Material Science jobs in Phoenix, AZ?

The most popular types of Computational Material Science jobs in Phoenix, AZ are:

What are popular job titles related to Part Time Computational Material Science jobs in Phoenix, AZ?

For Part Time Computational Material Science jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Part Time Computational Material Science jobs in Phoenix, AZ look for?

The top searched job categories for Part Time Computational Material Science jobs in Phoenix, AZ are:

Computational Physics Specialist - Remote

micro1 AI

Mesa, AZ โ€ข Remote

$80 - $140/hr

Part-time

Posted 11 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 โ€” 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 moirรฉ systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2โ€“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 8โ€“10 week period (approx. 10 hours/week).