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Phd Material Science Jobs in Nevada (NOW HIRING)

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Are you someone who loves science, thrives on learning, and gets inspired by innovation? Join us as ... Advanced degree (DVM, MSc, or PhD) is a plus. EXPERIENCE * Proven experience in curriculum ...

Are you someone who loves science, thrives on learning, and gets inspired by innovation? Join us as ... Advanced degree (DVM, MSc, or PhD) is a plus. EXPERIENCE * Proven experience in curriculum ...

Are you someone who loves science, thrives on learning, and gets inspired by innovation? Join us as ... Advanced degree (DVM, MSc, or PhD) is a plus. EXPERIENCE * Proven experience in curriculum ...

Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality ... Additional tasks may include assisting with communication materials and documentation. Key ...

Senior Electrical Engineer

Reno, NV · On-site

$107K - $139K/yr

For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials ... Bachelor of Science Degree in Electrical Engineering or similar field required; or 3 years and a ...

Senior Electrical Engineer

Reno, NV · On-site

$120 - $170/hr

For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials ... Bachelor of Science Degree in Electrical Engineering or similar field required; or 3 years and a ...

Senior Electrical Engineer

Reno, NV

$107K - $139K/yr

For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials ... Bachelor of Science Degree in Electrical Engineering or similar field required; or 3 years and a ...

Senior Electrical Engineer

Reno, NV · On-site

$107K - $139K/yr

For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials ... Bachelor of Science Degree in Electrical Engineering or similar field required; or 3 years and a ...

Showing results 41-60

Phd Material Science information

What is the difference between Phd Material Science vs Materials Engineer?

AspectPhd Material ScienceMaterials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch labs, academia, R&D departmentsManufacturing, product development, industry labs
Industry UsageResearch, academia, advanced R&DProduct design, process improvement, manufacturing

Phd Material Science professionals focus on advanced research, developing new materials, and academic roles, often working in labs or universities. Materials Engineers typically work in industry settings, applying existing knowledge to develop and improve products and manufacturing processes. While both roles require knowledge of materials, the PhD is more research-oriented, whereas Materials Engineers focus on practical application and product development.

What are popular job titles related to Phd Material Science jobs in Nevada?

For Phd Material Science jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Phd Material Science jobs?

Cities in Nevada with the most Phd Material Science job openings:

Infographic showing various Phd Material Science job openings in Nevada as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% In-person job distribution.

AI Training Specialist - Physics

micro1 AI

Henderson, NV • On-site, Remote

$80 - $150/hr

Part-time

Posted 20 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.