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

Achievers

Data Scientist

Toronto, ON · On-site

Bonus: * PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field * Expertise in machine learning methods including Time series analysis ...

CIBC

Senior Director, Model Quantification

Toronto, ON · Hybrid

You hold a Master of Science (MSc) or Doctor of Philosophy (PhD) in Computer Science, Mathematics, Engineering or a related discipline, or bring comparable experience with at least 5 years in credit ...

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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.

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 problem-solving and analytical skills. While it can lead to high-level positions, it typically involves several years of study and may have limited direct industry applications compared to other degrees, making its value dependent on career goals.

What is the salary of a PhD in mathematics?

The salary of a PhD in mathematics varies depending on the industry, experience, and location. Typically, mathematicians with a PhD working in academia, research, or industry can expect salaries ranging from $70,000 to over $120,000 annually. Higher salaries are common in private sector roles such as data science, finance, or technology companies that require advanced quantitative skills.

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.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and technology, where advanced analytical and problem-solving skills are valued. They often find opportunities in research, consulting, and roles requiring quantitative expertise, with employment prospects improving as data-driven decision-making grows across industries.

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.

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 job categories do people searching Phd In Mathematics jobs in Toronto, ON look for? The top searched job categories for Phd In Mathematics jobs in Toronto, ON are:
Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in Toronto, ON as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Platform Verification Engineer - Software Systems

Waabi

Toronto, ON • On-site, Remote

CA$133K - CA$222K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai


A strong focus will be on: 
- Creating verification plans for autonomous vehicle subsystems based on requirements.
- Developing and maintaining test infrastructure including simulation, Continuous Integration (CI) and analytics dashboards.
- Automated test execution and reporting. 

You will...
- Own the verification of autonomy platform software against requirements and define ways to evaluate them efficiently and effectively.
- Act as a central point of contact for verification of code modules including localization, motion planning and control.
- Define necessary improvements for our highly realistic simulator to effectively verify autonomous platform aspects under all required conditions.
- Own the writing and tracking of tests and test executions in line with company project milestones.
- Create statistical analysis methods to inspect platform performance across large datasets.
- Implement tools and methodologies to streamline and automate the Waabi platform verification processes.
- Work closely with multiple engineering teams to validate AV software releases before physical deployment.
- Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems.

Qualifications:
- Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics.
- Knowledge of the typical autonomous vehicle stack.
- Experience in verification of complex systems.
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics.
- Strong software development skills (Python, C++, or Rust) with proficiency in data analysis and statistics.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Bonus/nice to have:
- Experience developing and launching products in the autonomous vehicle or robotics industries.
- Experience with high-fidelity simulation systems.
- Experience building software systems from scratch.

The US yearly salary range for this role is: $133,650 - $222,000 USD and the Canada salary range for this role is: $154,289 - $220,000 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.  Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits that include Medical, Vision and Dental coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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