Job Description

Job Title:

Research Engineer

Job Type:

Full-time employment

Location:

TIMEZYX - Vancouver: 555 W Hastings St #1200, Vancouver, BC V6B 4N6

Work Format:

In-person (Vancouver, BC)

Duration

: 4 months

Hourly Rate:

CA$30 - CA$40 (monthly CA$4800 - CA$6400)

Start Date:

December 1, 2025

TIMEZYX offers a structured co-op opportunity for final-year undergraduate or graduate students in our Vancouver office. This position provides a unique chance to gain hands-on experience in a fast-paced startup environment. You will:

Gain knowledge about Physics-Informed Machine Learning & structural digital twins Participate in group meetings, technical discussions, and strategy sessions Develop research and communication skills through team collaboration Experience the dynamic, collaborative nature of startup research and development

About TIMEZYX

TIMEZYX is a deep-tech company that develops real-time, physics-based, data-driven structural digital twins to help safeguard critical infrastructure against climate-related risks. Our platform enables a holistic understanding of structural behavior to empower smarter, faster, and more cost-effective decisions.

We are proud to foster a collaborative, inclusive research environment that brings together experts in computational mathematics, mechanical engineering, and structural engineering. Backed by leading academic partnerships and a mission-driven culture, we are building the future of infrastructure resilience--and we invite you to be part of it.

Website:

About the Co-op Opportunity

We are seeking a highly motivated co-op student to join our team as

Research Engineer

with a focus on

Machine Learning for Structural Health Monitoring

. The position offers hands-on experience in developing and applying advanced deep learning models for civil infrastructure systems. Specifically, you will contribute to a project aimed at extending recent research on bridge damage localization by implementing and testing Neural Operators to improve model accuracy, generalizability, and data efficiency.

This is an excellent opportunity for a

final-year B.Sc. student, M.Sc. student, or Ph.D. student

in Engineering, Physics, or a related field with a strong interest in machine learning applications, numerical modeling, or data-driven methods.

Key Responsibilities

Conduct literature reviews on the application of physics-informed neural networks for structural analysis Use transfer learning techniques to improve model performance with limited data Train and validate neural networks using GPU computing resources Post-process and interpret results from numerical experiments Prepare technical reports and contribute to publications Participate in technical discussions and present findings in team meetings Collaborate with multidisciplinary teams and subject matter experts

Academic & Technical Qualifications

Final-year B.Sc., M.Sc., or Ph.D. student in Engineering, Physics*, or a related field
Eligible to work in British Columbia Demonstrated experience in machine learning, neural networks; familiarity with operator learning is an asset. Proficiency in Python and modern machine learning libraries, e.g. PyTorch or TensorFlow Familiarity with LLMs as well as AI-assisted research workflows is an asset Strong research, writing, and analytical skills Experience preparing literature reviews or scientific documentation

Non-Technical Qualifications

Effective communication and presentation abilities Strong collaboration and problem-solving skills Self-driven with the ability to manage tasks independently Comfortable working in a dynamic and evolving research environment

Why TIMEZYX?

Impact: Tackle real-world challenges in infrastructure resilience Innovation: Dive into cutting-edge simulation, testing, and AI tools Growth: Publish, present, and sharpen your research portfolio Team: Collaborate with top minds in a fast-moving, mission-driven startup Culture: Thrive in a diverse, inclusive, and empowering environment

How To Apply

Prepare a single PDF file titled "

Ref_005_FirstName_LastName"

containing the following. Then follow the .

Cover Letter - Describe your qualifications, experience, and motivation Curriculum Vitae - A complete CV with relevant academic and work experience Academic Records - Transcripts and degree certificates Writing Sample - A sample of scientific writing (e.g., paper, thesis, or report) References - Contact information for at least two academic or professional referees
Job Types: Full-time, Internship / Co-op
Contract length: 4 months

Pay: $4,800.00-$6,400.00 per month

Benefits:

Dental care Extended health care
Work Location: In person