Program dossier
School of Computer Science Computer Science (PhD)
People to investigate
Full Professor
medical image analysis, computer vision, probabilistic deep learning, neurological disease imaging
Official/Mila profiles state she directs PVG and Medical Imaging Lab and works on probabilistic deep learning methods in computer vision and medical image analysis
Strongest McGill medical-imaging match; primary appointment ECE, associate SCS status must be handled carefully
Professor
artificial intelligence, machine learning, medicine, automated control, reinforcement learning
Homepage states AI/ML applications especially in medicine and automated control; affiliated with Mila scientific leadership and neuroscience/big-data initiatives
Good ML-health lead; less aligned with segmentation/reconstruction than Tal Arbel
Decision evidence
Computer Science PhD page lists AI, deep learning, machine learning, medical image analysis, and Mila/CIM advisor leads ๐
Fall international deadline December 15; Canadian deadline February 15 Montreal local time
๐All PhD students funded; average PhD funding approximately CAD 25,000/year, many receive more; formal offer varies
๐์ ํ
๐TOEFL iBT 100 or IELTS overall 6.5 if prior instruction was not in English
๐TOEFL iBT 100 or IELTS 6.5
๐TBD
๐Online application, transcripts, statement of purpose/research areas, proposed supervisors, references, English score if required
๐TBD
๐Program context
Institution profile
Computer Science PhD page lists AI, deep learning, machine learning, medical image analysis, and Mila/CIM advisor leads
All PhD students funded; average PhD funding approximately CAD 25,000/year, many receive more; formal offer varies
TBD
TBD
2026-08-01
Verified official SCS and McGill pages; Tal Arbel is strongest medical-imaging lead, Doina Precup is ML-health lead ๐
Financial picture
SCS funding page says all PhD students are funded; average PhD funding is approximately CAD 25,000 per year but offers vary ๐