- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 1 小时前
Where you'll work
职位描述
Overview
Oncoustics is a startup focused on applying AI to ultrasound data to help detect disease. The company is seeking a student for an 8-month co-op placement in its research and development team in Toronto.
Responsibilities
- Build foundational machine learning models for classification and object detection with guidance from the team.
- Support feature engineering and signal processing efforts aimed at improving data quality.
- Stay current with modern approaches in signal processing and machine learning through ongoing research.
- Work closely with other team members to help the group move efficiently and collaboratively.
Requirements
- Must be enrolled in an accredited Canadian college or university throughout the co-op term.
- Should have programming experience, with Python and MATLAB preferred.
- Must have completed at least second year and be currently studying in an accredited Canadian undergraduate program in Engineering, Computer Science, Physics, Mathematics, or a related medical/computing field.
- Must be a Canadian citizen or permanent resident.
- Must be able to work onsite at the Toronto office located at 155 Queens Quay East.
Preferred background
- Exposure to signal processing and/or machine learning in an industry setting.
- Experience in biomedical work or projects.
- Hands-on familiarity with ultrasound imaging and image processing.
- Experience using PyTorch, scikit-learn, NumPy, and SciPy.
- Knowledge of signal processing, image processing, or machine vision.
Application details
Applicants were asked to provide a resume. The form also included a check on whether the applicant is eligible to work in Canada.
Additional information
This is an 8-month co-op position based in Toronto, Ontario, Canada, within the research and development function.