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Part Time Computational Material Science Jobs in Seattle, WA

micro1 AI

AI Training Specialist - Physics

Seattle, WA · 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 ...

micro1 AI

AI Training Specialist - Physics

Tacoma, WA · 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 ...

micro1 AI

AI Training Specialist - Physics

Bellevue, WA · 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 ...

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All JobsComputational Material Science JobsPart Time Computational Material Science JobsPart Time Computational Material Science Jobs in Seattle, WA

Part Time Computational Material Science information

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 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 are the most commonly searched types of Computational Material Science jobs in Seattle, WA?

The most popular types of Computational Material Science jobs in Seattle, WA are:

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

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

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

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

What cities near Seattle, WA are hiring for Part Time Computational Material Science jobs?

Cities near Seattle, WA with the most Part Time Computational Material Science job openings:

Part Time Computational Material Science jobs near you

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Kent, WA • On-site, Remote

$80 - $150/hr

Part-time

Posted 17 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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