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Phd In Mathematics Jobs in Toronto, ON (NOW HIRING)

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Qualifications Must-Have * PhD or doctoral candidate in Mathematics , Applied Mathematics ...

About Turing: Based in San Francisco, California, Turing is the world's leading research ... PhD-level programs. * You should be able to break down complex mathematical concepts into simple ...

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Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Qualifications Must-Have * PhD or doctoral candidate in Mathematics , Applied Mathematics ...

Bachelor's degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields OUR PROMISE We want you to live an experience that matches your talent!

Research, develop and validate mathematical models for industrial processes in pharmaceuticals and ... Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research ...

Research, develop and validate mathematical models for industrial processes in pharmaceuticals and ... Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research ...

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience: * 6+ years post-Master's experience or 4+ ...

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Phd In Mathematics information

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 are popular job titles related to Phd In Mathematics jobs in Toronto, ON?

For Phd In Mathematics jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Phd In Mathematics job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Mathematics PhD - AI Evaluation Expert

Mercor

Toronto, ON โ€ข Remote

CA$70/hr

Full-time

Posted 6 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: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced inputs.
  • Build grading criteria to define correct answers.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
  • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
  • Working proficiency in Python for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

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.