Ph.D. Position in Machine Learning: The University of British Columbia (UBC) is offering a fully funded Ph.D. position for a promising candidate to conduct research in the realm of machine learning applied to medical imaging, specifically focused on the diagnosis and management of venous thromboembolism (VTE). This role is pivotal in developing a novel AI-powered multi-anatomy ultrasound platform to enhance VTE management. The candidate will engage closely with a multidisciplinary team at the forefront of biomedical engineering research.
Fully Funded Ph.D. Position in Machine Learning for Medical Imaging
Designation
Ph.D. Student – Machine Learning for Medical Imaging
| Field | Details |
|---|---|
| Research Area | Biomedical Imaging and Machine Learning |
| Location | University of British Columbia, Vancouver, BC, Canada |
| Eligibility/Qualification | – Master’s degree in Computer Science or related field – Strong math and statistics knowledge – Experience with deep learning techniques for medical imaging – Proficiency in Python, Matlab, C++, and frameworks like PyTorch or TensorFlow – Excellent communication and writing skills – Publication record in relevant conferences |
| Job Description | – Develop AI algorithms for ultrasound imaging – Collaborate with clinicians and engineers – Conduct research in a clinical environment – Contribute to publications and present findings at conferences |
| How to Apply | Interested applicants should send a cover letter and CV (combined as a single PDF) to ilker@mail.ubc.ca, referencing “GPS-58355.” Ensure all qualifications and experiences relevant to the position are highlighted. |
| Last Date for Apply | Until position filled |
Research Area
The research will focus on developing AI-powered techniques for the early and accurate diagnosis of venous thromboembolism, including deep vein thrombosis and pulmonary embolism, using advanced ultrasound technology.
Location
This position is based at the University of British Columbia in Vancouver, BC, Canada, with research conducted at the Center for Heart Lung Innovation located within Providence Health Care’s St. Paul’s Hospital.
Eligibility/Qualification
- A Master’s degree in Computer Science or similar fields
- Strong knowledge of mathematics and statistics
- Experience using deep learning for solving medical imaging challenges (classification, detection, segmentation)
- Proficiency in programming languages: Python, Matlab, and C++
- Familiarity with deep learning frameworks: PyTorch, TensorFlow, or equivalents
- Excellent communication and writing skills
- Proven publication records in top machine learning or medical imaging conferences
Job Description
The successful candidate will:
- Develop and optimize machine learning algorithms for medical imaging
- Collaborate with a multidisciplinary team, including clinicians and scientists
- Engage in research activities in a clinical environment
- Write and publish research findings in reputable journals and conferences
How to Apply
Interested candidates should submit:
- A cover letter outlining their interest and relevant experience
- A Current CV in a single PDF format
- All applications must be emailed to ilker@mail.ubc.ca, and please include the reference number “GPS-58355” in your correspondence.
Last Date for Apply
Until position filled
This scholarship opportunity not only supports academic advancement but also contributes significantly to advancing medical imaging technology and improving patient outcomes in the management of venous thromboembolism.
