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Remote Material Science Postdoc Jobs in Santa Ana, CA

YO AI Labs

Physics Expert - Remote

Los Angeles, CA · Remote

$80 - $160/hr

Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific ... Optical Properties of Materials * 3-5 recent representative publications in the target research ...

YO AI Labs

Hematology Expert - Remote

Los Angeles, CA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

YO AI Labs

GIS/Geospatial Expert

Los Angeles, CA · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

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All JobsMaterial Science Postdoc JobsRemote Material Science Postdoc JobsRemote Material Science Postdoc Jobs in Santa Ana, CA

Remote Material Science Postdoc information

See Santa Ana, CA salary details

$36.9K

$74.4K

$97.3K

How much do remote material science postdoc jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote material science postdoc in Santa Ana, CA is $74,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $87,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Material Science Postdoc vs Remote Materials Engineer?

AspectRemote Material Science PostdocRemote Materials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related
Work EnvironmentResearch-focused, academic or lab setting, remote options availableIndustry-focused, product development, remote or hybrid options
Employer & Industry UsageUniversities, research institutes, some industry R&DManufacturing, aerospace, electronics, and related industries

The main difference is that Remote Material Science Postdocs are primarily involved in research and academic projects, often requiring a PhD, while Remote Materials Engineers focus on applying material science principles to develop products and solutions in industry, typically with a bachelor's or master's degree. Both roles may be remote, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Remote Material Science Postdoc jobs in Santa Ana, CA?

For Remote Material Science Postdoc jobs in Santa Ana, CA, the most frequently searched job titles are:

What job categories do people searching Remote Material Science Postdoc jobs in Santa Ana, CA look for?

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Remote Material Science Postdoc jobs near you

Physics Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $160/hr

Full-time

Posted 6 days ago

Job description

Job Title: Physics Expert – Professor / Principal Investigator

Role Type: Contractor
Location: Remote

Job Overview

We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions.

The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most.

Scope of Work
  • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise.
  • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions.
  • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments.
  • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research.
  • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals.
  • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate.
  • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations.
  • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.
Required Skills
  • Physics Mastery
  • Expert Judgment in Ambiguous Cases
  • Meta-Level Reasoning
  • Research Leadership
  • Defensible Written Articulation
  • Scientific Analysis
  • Technical Evaluation
  • Research Communication
  • Critical Thinking
Preferred Qualifications
  • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield.
  • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership.
  • Active or recent research experience in one or more of the following areas:
    • High Energy Physics
    • Mathematical Physics
    • Biophysics
    • Statistical Physics
    • Condensed Matter Physics
    • AMO / Quantum Optics
    • Gravitation
    • Cosmology
    • Astrophysics
    • Quantum Information
    • Optical Properties of Materials
  • 3–5 recent representative publications in the target research area, with arXiv or DOI references available.
  • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools.
  • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously.
  • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.