Engineering Co-op

1 hour ago

Toronto, Canada Flosonics Full time

We are a team of passionate medical and technological innovators on a mission to improve patient treatment and outcomes with cutting‑edge medical devices like the FloPatch. FloPatch is the world’s first wireless Doppler ultrasound system designed to support the clinical management of critically ill patients. The wearable sensor enables real‑time functional hemodynamic monitoring for patients requiring cardiopulmonary and fluid resuscitation. The successful candidate will assist Flosonics Medical in introducing FloPatch to the world. We are looking for a motivated Biomedical, Software or Electrical Engineering Co‑op Student to support the development of advanced signal‑simulation tools that enable training and evaluation of machine‑learning and signal processing algorithms in diverse clinical scenarios. In this role, you will contribute to building Python‑based tools, enhancing simulated physiological signals, and collaborating closely with algorithm developers working on cutting‑edge biomedical technologies. Key Responsibilities: Translate an existing signal‑simulation package into Python and ensure it integrates smoothly with our current software environment. Enhance the simulation framework to enable customizable signal generation, including adding new waveform morphologies, incorporating noise models, and varying signal‑quality parameters. Contribute to the development of Python tools that support algorithm research and product development. Write clean, well‑structured, and maintainable code following good engineering practices. Produce clear documentation that explains the design, functionality, and usage of the simulation tools for the broader team. Maintain and update documentation as new features and capabilities are developed. Work closely with algorithm developers and cross‑functional team members to ensure simulation tools meet project needs. Participate in design discussions, technical reviews, and brainstorming sessions. Present progress, results, and technical insights to the team in a clear and concise manner. Qualifications: Currently enrolled in a Software, Biomedical or Electrical Engineering program. Strong programming skills in Python and Matlab. Experience with version control tools such as Git and GitHub. Experience or coursework related to signal processing, machine learning, and biomedical instrumentation is an asset. Experience with developing user interfaces and modular code bases. Excellent communication and documentation skills, with the ability to explain technical concepts clearly. Strong problem‑solving abilities and attention to detail. Ability to manage time effectively. #J-18808-Ljbffr

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