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Remote Computational Materials Science Jobs in Iowa

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

AI Training Specialist - Physics

Des Moines, IA ยท On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

AI Training Specialist - Physics

Davenport, IA ยท On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ...

$63K - $85K/yr

Remote work within the United States may be considered only for employees not within commuting ... Prepare technical comments, briefing materials, fact sheets, reports, presentations, and ...

Applied Mathematics Tutor

Ames, IA ยท 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 ...

Applied Mathematics Tutor

Iowa City, IA ยท 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 ...

Rhino Tutor

Ames, IA ยท Remote

$18 - $40/hr

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 41-60

Remote Computational Materials Science information

What is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

What are the key skills and qualifications needed to thrive as a remote computational materials scientist, and why are they important?

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.

What is the difference between Remote Computational Materials Science vs Remote Materials Data Analyst?

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

What are popular job titles related to Remote Computational Materials Science jobs in Iowa?

For Remote Computational Materials Science jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Remote Computational Materials Science jobs in Iowa look for?

The top searched job categories for Remote Computational Materials Science jobs in Iowa are:

What cities in Iowa are hiring for Remote Computational Materials Science jobs?

Cities in Iowa with the most Remote Computational Materials Science job openings:

Senior Scientific Reviewer - Physics

micro1 AI

Cedar Rapids, IA โ€ข On-site, Remote

$80 - $150/hr

Part-time

Posted 18 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.