The selected candidate will work under the supervision of Dr. Antonio Agudo, focusing on developing algorithms for image segmentation, compression, localization, reconstruction, and synthesis. The project addresses challenges in real-world scenarios involving noisy observations, non-calibrated cameras, and diverse environments.