Research Associate in Computational Mathematics

Company Overview:

TIMEZYX is a research-driven technology startup based in Vancouver, BC, focused on advancing the frontiers of scientific computing. Our mission is to solve the most complex computational challenges in science and engineering using innovative mathematical models, high-performance computing, and cutting-edge machine learning techniques. At the core of our work is the development of robust numerical solvers and next-generation simulation tools with applications in solid mechanics, physics-based modeling, and uncertainty quantification.

We are proud to foster an inclusive, multidisciplinary research environment that brings together experts from computational mathematics, physics, computer science, and engineering. As we continue to expand, we are looking for brilliant minds to join our team and help shape the future of scientific computing.

You can learn more about us on our website.

Position Overview:

TIMEZYX is seeking a Research Associate in Computational Mathematics to support the development of new computational methods, software tools, and scientific research. This full-time, in-person role in Vancouver, BC offers a unique opportunity to work on challenging and high-impact projects at the intersection of numerical analysis, scientific computing, and machine learning. The ideal candidate is an independent thinker with deep expertise in numerical methods and a passion for building high-performance software.

Key Responsibilities:

• Design, implement, and optimize iterative solvers in C++, Python, and Julia
• Conduct applied research on numerical ODEs, PDEs, IEs, and uncertainty quantification methods
• Develop novel approaches using Physics-Informed Neural Networks (PINNs) for solid mechanics simulations
• Contribute to high-impact publications and technical reports
• Collaborate with cross-disciplinary teams of researchers and domain experts
• Engage in technical discussions and present research findings in team meetings and conferences
• Maintain high-quality, well-documented codebases and contribute to open-source projects

Qualifications:

• M.Sc., or Ph.D. in Applied Mathematics, Computational Mathematics, or a related field
• Expertise in scientific computing, particularly in numerical linear algebra and iterative solvers
• Strong understanding of Finite Element Analysis and PINNs
• Proficiency in C++, Python, Julia, and/or Fortran
• Experience with high-performance computing (OpenMP, MPI, Distributed.jl)
• Familiarity with key scientific libraries (e.g., Intel oneMKL, Ginkgo, FEniCS, FFTW, NumPy, SciPy, Matplotlib)
• Excellent academic and technical writing skills

Non-Technical Qualifications:

• Strong communication and presentation skills
• Ability to lead technical discussions and collaborate across disciplines
• Self-motivated and capable of managing research projects independently
• Strong team leadership, problem-solving, and decision-making abilities
• Adaptable to evolving tasks and research directions

Nice to Haves:

• Experience working in research labs or academic/industry collaborations
• Contributions to open-source scientific computing projects
• Exposure to university departments focused on numerical analysis, mathematical modeling, or computational mechanics (e.g., Applied Mathematics, Mechanical Engineering, Physics, Computer Science)

Compensation:

• This is a full-time, in-person position based in Vancouver, BC.
• The salary range for this position is 85-110k (Flexible for the right candidate)

Why Join TIMEZYX?

• Cutting-Edge Research: Work on state-of-the-art numerical and machine learning methods to solve real-world scientific problems
• Collaborative Environment: Join a team of passionate, interdisciplinary researchers working across applied math, physics, and computing
• Professional Development: Opportunity to publish, present, and grow your research portfolio
• Inclusive Culture: A multicultural workplace committed to equity, diversity, and inclusion

Does this opportunity excite you?

Join TIMEZYX in pushing the boundaries of scientific discovery through computational excellence – apply now!