PhD Scholarship Opportunity in AI/ML: Join our vibrant AI Institute and embark on a groundbreaking PhD journey focusing on Machine Learning for Medical Imaging, with a specialization in retinal disease detection and progression profiling. This scholarship offers a unique chance to contribute to cutting-edge research that can revolutionize the field of eye care.
Exciting PhD Scholarship Opportunity in AI/ML for Medical Imaging at the AI Institute
Designation: PhD Student in Machine Learning for Medical Imaging
Research Area: AI/ML, Data Science, Bioinformatics & Machine Learning
Location: AI Institute/Center for Medical Data Science
Eligibility/Qualification:
- MSc degree or equivalent in AI, computer science, biomedical engineering, physics, or related fields
- Enthusiasm about AI applications in medicine and a collaborative mindset
- Strong programming skills in Python, PyTorch, JAX, TensorFlow, etc.
- Excellent English language proficiency (C1 level)
- Creative problem-solving abilities, proactive, and motivated attitude
Job Description: You will be part of a multidisciplinary team working on automated detection and prognosis prediction of retinal diseases using 3D optical coherence tomography. Your work will involve developing robust and interpretable models for patient-specific disease progression analysis through cutting-edge Deep Learning methodologies.
How to Apply: Interested candidates should submit their applications through the online application tool on our website. Ensure to include a cover letter, CV, academic transcripts, and contact information for references.
Last Date for Apply: Deadline for applications is 15th November 2024. Don’t miss this chance to be at the forefront of AI-driven advancements in medical imaging!
| Research Area | AI/ML, Data Science, Bioinformatics & Machine Learning |
|---|---|
| Location | AI Institute/Center for Medical Data Science |
| Eligibility/Qualification | MSc degree in AI, computer science, or related fields |
| Job Description | Develop AI models for retinal imaging and disease analysis |
| How to Apply | Submit application online with CV, transcripts, and references |
| Last Date for Apply | 15th November 2024 |
