Program Overview
- Program type: PhD
- Study mode: Full-time
- Duration: 5–6 years (60–72 months)
- Intake size: 1 student
- Funding: TBD
Research Areas
- Neurodegenerative Diseases
- Cognitive Neuroscience
- Brain Connectivity
- Neuroimaging
- Medical Image Processing
- Machine Learning
- MRI
Eligibility
- Academic background: Bachelor’s or Master’s degree with background in brain MRI, AI, medical image processing, or clinical neurology (especially focused on neurodegenerative diseases)
- GPA: ≥ 3.7
- English proficiency: TOEFL 100 (each section ≥ 20) or IELTS 7 (each section ≥ 6)
- English waiver: Full Bachelor’s/Master’s degree from an English-instruction country (waiver possible)
- Letters of recommendation: 3 academic letters
- Preferred: Ability to implement neural network models (Python mentioned in source)
Application Windows
- Intake: Fall
- Application deadline: Dec 1
- Rolling admissions: TBD
Timeline (Fall cycle)
- Now–early October: Submit English CV and related materials for preliminary evaluation
- October: Shortlisted applicants interview with potential supervisor
- Before December: After passing interview, submit official application materials via the official website
- December–January (next year): Finalists interviewed by the school admissions committee
- February–March (next year): Receive admission offer
Source URL
- TBD
Notes
- Tuition: USD 74,480/year
- Scholarship support is stated, but specific coverage/terms are unclear: - TBD
- Research examples/details (not tags):
- Neurodegenerative diseases mentioned include Alzheimer’s disease and Parkinson’s disease
- Cognitive functions mentioned include memory, learning, and language
- Brain connectivity discussed in terms of structural and functional connectivity
- Application materials:
- Personal statement (max 2 pages)
- CV
- Transcript
- Research output samples (e.g., published papers, if any)
- 3 recommendation letters (due by Dec 1)
- English test score report