Post-Doctoral Fellow in Image Reconstruction: The University of Genova’s Machine Learning center is seeking a talented and motivated Post-Doctoral Fellow to work on innovative model-aware image reconstruction methods in the field of computational imaging. The project focuses on integrating theoretical guarantees of model-based methods with data-driven techniques to tackle challenges in imaging under data scarcity.
Post-Doctoral Fellow in Self-Supervised Model-Aware Learning for Non-Linear Image Reconstruction
Designation:
Post-Doctoral Fellow
Job Details
| Parameter | Details |
|---|---|
| Research Area | Machine Learning, Image Reconstruction |
| Location | University of Genova, Genoa, Italy |
| Eligibility/Qualification | PhD in Computer Science, Mathematics, or related field; background in image processing and machine learning required. |
| Job Description | Develop model-aware learning approaches for non-linear image reconstruction using limited training data; conduct numerical validations on microscopy data in collaboration with IIT Genoa. |
| Salary | Commensurate with experience, according to international standards. |
| Expected Starting Date | May/June 2025 |
| Duration | 1 year, renewable |
How to Apply:
Interested candidates should submit their expression of interest via email to luca.calatroni@unige.it before the application deadline.
Last Date to Apply:
January 15, 2025
This position offers a unique opportunity to work at the intersection of theoretical and applied mathematics within an interdisciplinary team focused on cutting-edge research in image reconstruction technologies.
