PhD Fellowship in Image Analysis: The University of Copenhagen is offering a PhD fellowship in image analysis using deep learning, focusing on glaucoma detection. The fellowship is a collaborative project involving the Eye Translational Research Unit and DTU Compute, aiming to enhance the explainability of multimodal deep learning models.
PhD Fellowship in Applied Deep Learning for Image Analysis
Designation
PhD Fellowship in Applied Deep Learning for Image Analysis
Table
| Details | Information |
|---|---|
| Research Area | Deep Learning, Image Analysis, Ophthalmology |
| Location | University of Copenhagen, Department of Drug Design and Pharmacology |
| Eligibility/Qualification | Master’s degree in Computer Science, Biomedical Engineering, Data Science, Mathematics, or related field. |
| Description | A three-year PhD project focused on developing and evaluating explainable deep learning models for eye diseases. Candidates will work with experienced researchers in a dynamic, interdisciplinary environment. |
| How to Apply | Submit an application electronically, including a motivated letter, CV, certified Master’s degree, publication list, and references. |
| Last Date for Apply | 3 September 2025, 23:59 PM CET |
Research Area
- Applied Deep Learning
- Image Analysis
- Ophthalmology
- Explainable AI
Location
- Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
Eligibility/Qualification
- Master’s degree related to the project (equivalent to a Danish master’s degree).
- Programming experience in Python.
- Hands-on experience with deep learning frameworks (e.g., PyTorch).
- Experience with explainable AI and a background in human-computer interaction is a plus.
Description
The PhD project, titled “Project FOREVER,” will explore explainable deep learning models for the detection of glaucoma using multimodal data, including OCT and fundus photographs. The candidate will engage in data analysis, model development, and evaluation within clinical contexts. There will be opportunities to publish findings and present at national and international conferences.
How to Apply
Interested candidates should submit their applications electronically as per the following documents in PDF format:
- Motivated letter of application (max. one page)
- CV including relevant education, experience, and skills
- Certified copies of Master’s degree and transcripts
- Publication list (if applicable)
- References and recommendations (if available)
Last Date for Apply
- 3 September 2025, 23:59 PM CET
For further inquiries, please contact the principal supervisor, Professor Miriam Kolko at miriam.k@sund.ku.dk or visit the University of Copenhagen’s website.
