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Phd In Mathematics Jobs in Constantia, NY (NOW HIRING)

YO AI Labs

Physics Expert - Remote

Phoenix, NY · Remote

$80 - $160/hr

PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

All JobsPhd In Mathematics JobsPhd In Mathematics Jobs in Constantia, NY

Phd In Mathematics information

See Constantia, NY salary details

$20.2K

$50.6K

$96.9K

How much do phd in mathematics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for phd in mathematics in Constantia, NY is $50,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $54,000.00 per year, depending on experience, location, and employer.

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

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

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, it typically involves several years of study and may not guarantee higher salaries compared to other advanced degrees or industry experience.

What jobs can you get with a PhD in mathematics?

A PhD in mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What cities near Constantia, NY are hiring for Phd In Mathematics jobs?

Cities near Constantia, NY with the most Phd In Mathematics job openings:

Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in Constantia, NY as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $50,577 per year, or $24.3 per hour.

Physics Expert - Remote

YO AI Labs

Phoenix, NY • Remote

$80 - $160/hr

Full-time

Posted 4 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.