Post Doctoral Fellowship in Medical Image Analysis

Post Doctoral Fellowship in Medical Image Analysis
McMaster University, Faculty of Health Sciences, Department of Oncology

Reports to:

Dr. Ashirbani Saha

Assistant Professor and BRIGHT Run Breast Cancer Learning Health System Chair, Department of Oncology
Associate Member, School of Biomedical Engineering

About us:
Ranked as one of the world’s Top 100 universities, McMaster University is devoted to the cultivation of human potential, realized through our innovative educational programs, cutting-edge research, and the diverse students, faculty, staff and alumni who make up the McMaster family. Dedicated to creating a Brighter World, we recognize that our people are our most valuable resource.

The Faculty of Health Sciences, the largest Faculty within McMaster, has an unwavering commitment to collaboration, strategic partnerships, accountability, innovation, excellence, integrity and optimism. Our pioneering approaches to education and our reputation for world-class research has consistently placed McMaster among the Top 40 universities in the world for health and medicine. The Faculty enjoys close relationships with its academic hospital partners, as well as strong collaborations with researchers in Canada and around the world.

The Department of Oncology in the Faculty of Health Sciences is a clinical academic department comprised of over 100 full- and part-time faculty and nearly 50 staff members, who contribute to excellence in clinical care, education and research. There are three clinical divisions: Medical Oncology, Radiation Oncology and Malignant Hematology. The Department has two Royal College accredited postgraduate programs in Medical and Radiation Oncology, as well as a strong Fellowship Program. The Department of Oncology is a research-intensive department with faculty who lead and collaborate on cutting-edge clinical trials, health services and translational research. Local research assets within the Department include the Ontario Clinical Oncology Group, the Cancer Care Ontario Program in Evidence Based Care, as well as the Escarpment Cancer Research Institute, which is a joint McMaster University and Hamilton Health Sciences research institute. Department offices, faculty, staff and trainees are located at the Juravinski Hospital and Cancer Centre.

Job Summary:

We are looking for a Post-doctoral Fellow to participate in a federally funded research program focused on the development of medical imaging applications and solutions based on the recent progress in AI.

The Post-doctoral Fellow will be required to apply his/her technical skills towards solving cutting-edge problems in AI for medical imaging with a goal of providing clinically relevant solutions. The Fellow will work in close collaboration with the principal investigator Dr. Saha, clinicians, and other relevant researchers.

Qualifications:
Following are the must-haves for this position:

• A highly motivated individual with a Ph.D. degree or close to the completion of a Ph.D. with a dissertation/thesis focussed on developing deep learning-based applications/methodologies for medical image analysis.
• Extensive experience with machine learning, computer vision, and image processing.
• Proficient in computer programming and in the implementation/adaptation/deployment of AI models.
• At least two first-authored journal publications (or accepted for publication) in moderate to high impact-factored journals or good international conferences in medical imaging/deep learning/AI.
• Good verbal and written communication skills.

Duration and Funding:

The anticipated start date is as soon as possible. For applicants completing a Ph.D., documentation will be required to confirm that the Ph.D. defense will be completed prior to the fellowship start date. The target salary is $55,000 CAD/year with benefits. This will be a 1-year term, with the possibility of an extension.

How To Apply

Please submit

• A cover letter (up to 500 words) describing your alignment with the qualifications for this position.
• Your CV (including all publications).
• Your Google Scholar profile link.
• Names and contact information of three referees.
• GitHub handle or public link to your research profile, if available

The application materials and/or any additional questions regarding the position should be sent via e-mail bearing the subject line ‘-as PDF-2024-25’ to:

Ashirbani Saha, Ph.D., SMIEEE
Assistant Professor and BRIGHT Run Breast Cancer Learning Health System Chair, Department of Oncology
Associate Member, School of Biomedical Engineering
Rm-130, Juravinski Hospital G(60) Wing
711 Concession Street, Hamilton, ON L8V 1C3
McMaster University, Canada
Phone - 1-905-527-2299 extn. 42718
Email: sahaa16@mcmaster.ca