The successful candidate will work on unconstrained reading systems, capable to detect and recognise textual information in challenging conditions such as urban scenery, born-digital images, videos and images recorded with wearable devices, etc.
The selected candidate is expected to align its research to the research priorities of the host group. Of particular interest is the interplay between visual and textual content in an urban scene image, and to what extent such modalities can work synergistically towards urban scene imagery interpretation. Interaction with textual content and camera-based capture and analysis of document images are also of interest.
The candidate is expected to contribute in the current lines of research of the hosting group, which consist of (but are not restricted to): scene text localisation, object proposals for text, script identification, word spotting, language models, deep network architectures, camera-based document image analysis, and human-document interaction among others.
PROJECT SUPERVISOR & HOSTING GROUP
The fellow will report to Prof. Dimosthenis Karatzas (robust reading and scene-text understanding), Prof. Ernest Valveny (word spotting) and Prof. Andrew Bagdanov (machine learning methods).
The hosting group is collaborating with a number of institutions world-wide. The research fellow will have the opportunity to participate actively in these collaborations, including through research stays. The activities of the team are supported by multiple research and technology transfer projects.
A PhD in computer science or a related field is required.
The applicants must have experience in computer vision, pattern recognition and machine learning techniques, and be able to demonstrate strong analytical and programming skills.
The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team, while demonstrating initiative and independence, and willing to supervise PhD students.
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development.
The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favourable working environment.
Conditions, deadlines and applications at www.uab.cat/psphere.
Call open from 9th of September until 9th of December.
OTHER P-SPHERE POSITIONS OPEN AT CVC
- HUMAN POSE RECOVERY AND BEHAVIOR ANALYSIS
- PERCEPTION BASED SELF DRIVING SYSTEM FOR URBAN SCENARIOS
- PREDICTING INTRINSIC PROPERTIES FROM IMAGES USING DEEP NETWORKS
- INFORMATION EXTRACTION FROM HISTORICAL DOCUMENT IMAGES
- DEEP LEARNING FOR MULTI-MODAL DATA REPRESENTATIONS