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Remote Materials Science Intern Jobs in Nevada (NOW HIRING)

Clinical Trial Psych Rater

Las Vegas, NV ยท Remote

$62K - $156K/yr

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality ...

Showing results 41-60

Remote Materials Science Intern information

What is a remote materials science intern?

A Remote Materials Science Intern is a student or recent graduate who gains practical experience in materials science while working remotely, often from home or another location outside of a traditional office or lab. Their responsibilities may include conducting virtual experiments, analyzing data, assisting with research projects, and collaborating with team members online. Remote internships allow interns to develop technical and analytical skills in materials science, often using digital tools and platforms. These positions are typically offered by universities, research institutions, or companies in fields like engineering, manufacturing, and technology.

What types of projects does a remote materials science intern work on, and how is remote collaboration managed?

As a Remote Materials Science Intern, you can expect to engage in projects such as data analysis of experimental results, literature reviews, computational modeling, and assisting in the design of new material prototypes. Remote collaboration is commonly facilitated through digital platforms like Slack, Microsoft Teams, and shared cloud-based tools for document and data management. Regular virtual meetings and clear communication channels ensure that you remain integrated with your team, receive mentorship, and can contribute meaningfully to ongoing research. This structure allows you to develop both technical and professional skills while working closely with experienced scientists.

What skills and qualifications are needed to thrive as a remote materials science intern?

To thrive as a Remote Materials Science Intern, you need a solid background in materials science principles, data analysis, and laboratory fundamentals, typically supported by progress in a related undergraduate or graduate program. Familiarity with simulation software (such as MATLAB or COMSOL), data visualization tools, and online collaboration platforms is often expected. Strong communication, self-motivation, and time management are essential soft skills for effective remote work and team integration. These skills and qualities ensure you can contribute effectively to research projects, collaborate remotely, and deliver meaningful results in a virtual environment.

What is the difference between Remote Materials Science Intern vs Remote Materials Engineer?

AspectRemote Materials Science InternRemote Materials Engineer
Required CredentialsTypically pursuing or recently completed a degree in materials science or related fieldBachelor's or master's degree in materials science or engineering, with some roles requiring professional certifications
Work EnvironmentInternship setting, often part-time or project-based, with mentorshipFull-time remote role involving design, analysis, and testing of materials
Employer & Industry UsageUsed by research labs, universities, and companies for entry-level or training rolesUsed by manufacturing, aerospace, and tech companies for ongoing product development

The Remote Materials Science Intern position is an entry-level role focused on gaining practical experience, often during studies, while the Remote Materials Engineer is a full-time professional role involving advanced responsibilities in materials development and analysis.

What are the most commonly searched types of Remote Materials Science jobs in Nevada?

The most popular types of Remote Materials Science jobs in Nevada are:

What are popular job titles related to Remote Materials Science Intern jobs in Nevada?

For Remote Materials Science Intern jobs in Nevada, the most frequently searched job titles are:

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Sparks, NV โ€ข On-site, Remote

$80 - $150/hr

Part-time

Posted 16 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 โ€” 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 othersโ€”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.