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Remote Computational Materials Science Jobs in Michigan

micro1 AI

Computational Biologist - AI Reviewer

Lansing, MI · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

micro1 AI

Computational Biologist - AI Reviewer

Detroit, MI · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

micro1 AI

Computational Biologist - AI Reviewer

Warren, MI · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

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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 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 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 are the most commonly searched types of Computational Materials Science jobs in Michigan?

The most popular types of Computational Materials Science jobs in Michigan are:

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

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

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

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

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

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

Remote Computational Materials Science jobs near you

Materials Science PhD - Problem Author - AI Trainer

Mercor

Detroit, MI • Remote

$85/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Materials Writer - Engineering FRQ
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Author original, free-response engineering problems in Materials Science & Engineering.
  • Develop expert-level solutions grounded in real industry scenarios.
  • Validate problem difficulty by testing against three frontier language models.
  • Ensure at least one model fails to solve the problems.
  • Work independently and asynchronously to meet deadlines.
  • Collaborate with AI research teams to enhance model training and evaluation.

Qualifications

Must-Have

  • PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical/Chemical Engineering discipline.
  • 5+ years of professional experience in materials selection, failure analysis, testing, or process development.
  • Experience with well-known/blue-chip employers.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor