The recognition and interpretation of handwritten document images require robust computer vision and pattern recognition methods. Despite the latest advances in deep learning, the recognition and interpretation of these particular documents is still challenging. Methodologically, the work will focus on the development of deep learning techniques (including sequence to sequence models, generative adversarial networks and graph neural networks) for improving both the recognition and the extraction of semantic information from multi-writer manuscripts.
Open positions: 2
Job category: Pre doctoral
Remuneration: in accordance with the CVC’s job categories
Conditions: Candidates with experience in this field are desired
How to apply?
If interested, please send your CV through the online form, indicating offer code 20200710_DAG. The online form can be accessed here: http://158.109.8.34/?page_id=107
_____________________________
In accordance with current legislation on the Protection of Personal Data, we inform you that your data will be incorporated into a processing under the responsibility of the Computer Vision Center (CVC) in order to manage candidates for the selection process of company personnel. You can find more information in our Privacy Policy.
