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Computational Mathematics Jobs in Quebec (NOW HIRING)

Micro1

Physics Expert (PhD / Postdoc) $80 - $140/hourpay Required Skills Physics Mastery Written Technical Communication Technical Problem-Solving Depth Mathematical & Computational Fluency About micro1 ...

Micro1

CA$80 - CA$140/hr

Physics Expert (PhD / Postdoc) $80 - $140/hour pay Required Skills Physics Mastery Written Technical Communication Technical Problem-Solving Depth Mathematical & Computational Fluency About micro1 ...

All JobsComputational Mathematics JobsComputational Mathematics Jobs in Quebec

Computational Mathematics information

See Quebec salary details

$20.5K

$84.6K

$174.5K

How much do computational mathematics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computational mathematics in Quebec is $84,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What Is Computational Mathematics?

The field of computational mathematics combines applied mathematics and computer science. Your responsibilities include using computers to create models to analyze data sets, make predictions, and develop solutions for mathematical problems. For example, as part of your duties you might use computational mathematics to create mathematical models of website traffic or social media activity in order to develop a strategy to increase traffic or gain more followers. Computational mathematics is a valuable skill in many fields, such as software development, computer programming, research, engineering, teaching, and finance. A background in computational mathematics grants you math, statistics, and computer science skills, giving you the ability to gather, analyze, and apply information for real-world applications.

What are the key skills and qualifications needed to thrive as a Computational Mathematician, and why are they important?

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians in roles such as cryptanalysts, intelligence analysts, and data scientists. These positions often require strong analytical skills, proficiency in programming and statistical tools, and security clearances. Mathematicians in the FBI contribute to national security through data analysis, code-breaking, and threat assessment.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer programming, simulations, and high-performance computing to analyze large datasets or optimize systems across various industries.

What is the highest paid math job?

In computational mathematics, roles such as quantitative analysts, data scientists, and research scientists often have the highest salaries, especially in finance, technology, and consulting industries. These positions typically require advanced skills in programming, statistical analysis, and mathematical modeling, with top earners often holding advanced degrees and certifications.

What jobs can you get with computational mathematics?

Computational mathematics graduates can pursue roles such as data analyst, quantitative analyst, operations researcher, software developer, or computational scientist. These jobs often require strong programming skills, knowledge of algorithms, and experience with mathematical modeling tools like MATLAB or Python.

What is computational mathematics?

Computational mathematics is a field of study that uses mathematical models, numerical analysis, and algorithms to solve scientific, engineering, and mathematical problems using computers. It involves the development and implementation of computational methods to analyze and solve complex real-world problems that are difficult or impossible to handle analytically. Professionals in this field often work on simulations, optimization, data analysis, and the creation of mathematical software for various industries.
More about Computational Mathematics jobs
What job categories do people searching Computational Mathematics jobs in Quebec look for? The top searched job categories for Computational Mathematics jobs in Quebec are:
Computational Mathematics jobs near you
Remote Physics Expert (PhD / Postdoc)

Remote Physics Expert (PhD / Postdoc)

Micro1

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Physics Expert (PhD / Postdoc)
$80 - $140/hourpay
Required Skills
Physics Mastery
Written Technical Communication
Technical Problem-Solving Depth
Mathematical & Computational Fluency
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

Apply