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Mathematical Logic Phd Jobs in Michigan (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Warren, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Dearborn, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Detroit, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Lansing, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Senior Scientific Reviewer - Physics

Warren, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Ann Arbor, MI · On-site +1

$80 - $150/hr

Critically evaluate and review physics solutions, mathematical derivations, and theoretical ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

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Mathematical Logic Phd information

What is the difference between Mathematical Logic Phd vs Data Scientist?

AspectMathematical Logic PhdData Scientist
Required CredentialsPhD in Mathematics or Logic, strong analytical skillsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentAcademic, research institutions, or specialized think tanksCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, theoretical developmentData analysis, machine learning, business insights
Common Search/ComparisonMathematical Logic Phd vs Data Scientist

The Mathematical Logic Phd typically focuses on theoretical research and academic roles requiring advanced mathematical and logical expertise. In contrast, a Data Scientist applies statistical and computational skills to analyze data and solve practical business problems. While both roles require strong analytical skills, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Mathematical Logic PhD, and why are they important?

To thrive as a Mathematical Logic PhD, you need advanced knowledge of mathematical logic, formal systems, set theory, and proof techniques, typically supported by a doctoral degree in mathematics or a related field. Proficiency with mathematical software (such as LaTeX, Coq, or Mathematica) and experience with academic research tools are highly valuable. Strong analytical thinking, perseverance, and clear written and verbal communication skills help you excel in both independent research and collaborative academic environments. These competencies are crucial for advancing theoretical understanding, producing publishable research, and contributing to the broader mathematical community.

What are the typical research and collaboration opportunities available to someone with a PhD in Mathematical Logic?

A PhD in Mathematical Logic opens doors to research positions in academia, technology companies, and research institutes, where collaboration is key. You may work as part of interdisciplinary teams with computer scientists, mathematicians, and philosophers on projects like formal verification, artificial intelligence, or foundations of mathematics. Challenges often include communicating complex ideas to those outside your specialty and balancing independent research with collaborative projects. These roles frequently provide opportunities to publish, attend conferences, and mentor students, fostering both personal growth and professional networking.

What is a Mathematical Logic PhD?

A Mathematical Logic PhD is a doctoral degree focused on the study of formal systems, reasoning, and the foundations of mathematics. Students in this program research topics such as set theory, model theory, recursion theory, and proof theory. Graduates often pursue careers in academia, research, or industry roles that require advanced logical reasoning and mathematical skills. The program typically involves coursework, comprehensive exams, and original research culminating in a dissertation.

What are popular job titles related to Mathematical Logic Phd jobs in Michigan?

For Mathematical Logic Phd jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Mathematical Logic Phd jobs in Michigan look for?

The top searched job categories for Mathematical Logic Phd jobs in Michigan are:

What cities in Michigan are hiring for Mathematical Logic Phd jobs?

Cities in Michigan with the most Mathematical Logic Phd job openings:

Mathematical Logic Phd jobs near you

AI Training Specialist - Physics

micro1 AI

Sterling Heights, MI • On-site, Remote

$80 - $150/hr

Part-time

Posted 13 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.

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