Post-Doctoral Positions at MaLGa: MaLGa at the University of Genova invites applications for two exciting post-doctoral research positions. These roles focus on advanced techniques in machine learning and image reconstruction, specifically targeting self-supervised learning for image problems and hierarchical methods for human motion understanding.
Designation
- Position 1: Post-Doctoral Fellow in Self-Supervised Model-Aware Learning for Non-Linear Image Reconstruction Problems
- Position 2: Post-Doctoral Fellow in Hierarchical Methods for Human Motion Understanding and Anticipation
| Designation | Supervisors | Expected Starting Date | Duration | Application Deadline |
|---|---|---|---|---|
| Model-Aware Learning | Luca Calatroni – DIBRIS | May/June 2025 | 1 year (renewable) | January 15, 2025 |
| Human Motion | Francesca Odone & Nicoletta Noceti – DIBRIS | March 2024 | 1 year (renewable) | December 20, 2024 |
Research Area
- Position 1: Model-Aware Learning for Image Reconstruction
- Position 2: Human Motion Understanding and Anticipation
Location
University of Genova, Machine Learning Center, Mathematics and Computer Science Departments
Eligibility/Qualification
- Position 1:
- PhD in relevant fields such as Computer Science, Machine Learning, Applied Mathematics, or related topics.
- Experience with model-based methods for inverse problems and data-driven techniques.
- Position 2:
- PhD in Computer Science, Computer Engineering, Artificial Intelligence, Applied Mathematics, or related fields.
- Background in Computer Vision and Machine Learning is mandatory.
Job Description
Position 1: Self-Supervised Model-Aware Learning for Non-Linear Image Reconstruction Problems
This role involves developing model-aware image reconstruction techniques for partially unknown and potentially non-linear models. Applicants will utilize self-supervised training procedures and conduct numerical validations using microscopy data, in collaboration with IIT, Genova, Italy.
Position 2: Hierarchical Methods for Human Motion Understanding and Anticipation
The focus of this research project is to design deep learning architectures for processing sequences of human poses and actions. The successful candidate will tackle challenges in action recognition and intention prediction, with potential applications in robotics and rehabilitation.
How to Apply
Interested candidates should apply by filling in the application form linked in the “Apply now” section on the MaLGa website or submit a spontaneous application. For further inquiries, please contact the respective supervisors via the provided email addresses.
- Position 1 Contact: Luca Calatroni – luca.calatroni@unige.it
- Position 2 Contacts: Francesca Odone – francesca.odone@unige.it; Nicoletta Noceti – nicoletta.noceti@unige.it
Last Date to Apply
- Position 1: January 15, 2025
- Position 2: December 20, 2024
This job post is designed to provide essential information clearly and concisely, supporting potential applicants in understanding the opportunities available at MaLGa.
