Informatics, electrical and electronic Engineering
Work description
- Study the state of the art on the intersection between methods for inference over probabilistic programs and neural systems for object representation learning; - Development of the base inference model; - Identify different physical scenarios to investigate the capacity of the developed model; - Critically evaluate the research process and the results obtained.
Minimum profile required
Experience in deep learning and probabilistic inference.
Preference factors
Experience in research projects and writing of scientific papers.
Application Period
Since 21 Nov 2024 to 04 Dec 2024
Centre
Telecommunications and Multimedia