Computational Structural Mechanics & Dynamics

Company Overview:TIMEZYX is a deep-tech company, focused on advancing the frontiers of Structural Digital Twin and revolutionizing risk assessment for critical infrastructure. 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 structural engineering, computational mathematics, physics, computer science, and material science. As we continue to expand, we are looking for brilliant minds to join our team and help shape the future of risk assessment for critical infrastructure.You can learn more about us on our website.Position Overview:TIMEZYX is seeking a Research Associate in Computational Structural Mechanics & Dynamics to join our Engineering team in Vancouver, BC, Canada. This full-time, in-person role focused on developing new computational methods and conducting industrial projects. This is a unique opportunity to work on challenging and high-impact projects at the intersection of numerical analysis, scientific computing, and machine learning.The successful candidate is an independent thinker with deep expertise in computational methods for solid mechanics and structural dynamics, and a passion for developing robust, efficient, and high-performance computational software.

Key Responsibilities

Formulate, implement, and optimize physics-based loss functions for structural problems based on advanced 3D nonlinear finite element theory and structural dynamics, with emphasis on 3D solid elements, and stiffness and mass matrix formulationsDevelop, perform, validate, and benchmark advanced static and dynamic finite element analyses of complex structural problems, including full-scale structures such as bridgesDevelop and apply computational methods for structural dynamics, including modal, frequency-domain, and transient dynamic analysesTranslate solid mechanics and structural dynamics formulations into ML frameworks in collaboration with the PIML/PINN teamApply expertise in concrete and steel structures to guide and validate computational models for real-world structural applicationsEngage in technical discussions and present research findings in team meetings, technical workshops, and conferencesMaintain high-quality, well-documented computational codebases and contribute to collaborative research and industrial projects

Qualifications

M.Sc., or Ph.D. in Computational Mechanics, Structural Dynamics, Structural Mechanics, Structural Engineering, Mechanical Engineering, or a related field, with a strong focus on computational methodsDeep expertise in computational solid mechanics and structural dynamics, with strong theoretical foundations and practical experience in numerical modeling and simulationAdvanced knowledge of 3D nonlinear FEM, including solid elements, material/geometric nonlinearities, and nonlinear solution methodsStrong knowledge of structural dynamics, including modal, frequency-domain, and transient analysesExperience in full-scale nonlinear and dynamic structural analysis, with strong knowledge of concrete and steel structuresAdvanced knowledge of concrete structures and steel structuresExcellent academic and technical writing skillsNon-Technical Qualifications:Strong communication and presentation skillsAbility to lead technical discussions and collaborate across disciplinesSelf-motivated and capable of managing research projects independentlyStrong team leadership, problem-solving, and decision-making abilitiesAdaptable to evolving tasks and research directionsNice to Haves:Experience working in academic as well as industry collaborationsProficiency with DIANA FE software and experience with ABAQUS is a strong assetFamiliarity with Physics-Informed Neural Networks (PINNs) or physics-based machine learning methodsExposure to programming environments used in scientific computing (e.g., Python, MATLAB) for pre/post-processing of FE resultsCompensation:This is a full-time, in-person position based in Vancouver, BC.The salary range for this position is CA$90 - CA$110kWhy Join TIMEZYX?Cutting-Edge Research: Work on state-of-the-art numerical and machine learning methods to solve real-world scientific problemsCollaborative Environment: Join a team of passionate, interdisciplinary researchers working across applied math, physics, and computingProfessional Development: Opportunity to publish, present, and grow your research and industrial portfolioInclusive Culture: A multicultural workplace committed to equity, diversity, and inclusionDoes this opportunity excite you?Join TIMEZYX in building the future of infrastructure intelligenceApply with your Linkedin profile and attach your resume.