Open positions: postdoctoral researcher with expertise in computer vision and pattern recognition.
PRALab is looking for a top postdoctoral researcher with expertise in computer vision and pattern recognition. The activities of the researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.
TITLE: Advanced techniques for the identification and extraction of low-level features to the semantic interpretation of images through Deep Neural Network (DNN).
SUPERVISOR: Prof. Giorgio Giacinto
STARTING DATE: October / November 2016
DURATION: 18 months
TO APPLY: The call will be published soon (by the end of August 2016). For more information please contact Prof. Giorgio Giacinto (firstname.lastname@example.org), Luca Piras (email@example.com)
The volume of multimedia content is increasing at a fast space due to the widespread availability of portable devices for the acquisition of images and videos, and the availability of large space for its storage through Internet. Consequently, there is the need for advanced tools for managing such a large volume of data in terms of automatic content classification techniques for the efficient retrieval of multimedia content related to a specific concept. These content are often shared through web sites such as social networks, and they are often described by low-quality tags. This project will be rooted in the past activities of the research group related to interactive multimedia retrieval systems. In particular, the activities of the Researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.
• MSc in computer science, computer engineering, electronic engineering, telecommunications engineering.
• Programming experience in Python or C/C++.
• Relevant research skills and experience in computer vision, machine learning, pattern recognition (demonstrated by high quality publications)
• A PhD degree with excellent academic credentials or at least two year of documented research activity
• Familiarity with deep learning
• Good English communication skills (oral and written)
The CyberROAD Roadmap
CyberROAD (Development of the Cybercrime and Cyber-terrorism Research Roadmap) is a project funded by the European Commission, under the Seventh Framework Programme. Cyber criminal activities are reported to be continuously growing and are negatively impacting the development of the European society and economy, and are pervasively affecting all the aspects of our daily lifes. Even though the level of awareness of cyber threats has increased, and Law Enforcement acts globally to fight against them, illegal profits have reached unsustainable figures. In addition to the economic reasons, however, cyber crime often hides other political and social motivations.
In order to help coordinate the European efforts in the fight against cyber crime and cyber terrorism, the CyberROAD project has identified 19 research topics on which Europe should concentrate resources to increase its security and resilience, organizing them in strategic roadmap for Cyber Security Research.
The CyberROAD project has been implemented by a consortium of 20 international partners, involved in the fight against Cyber Crime and Cyber Terrorism. Members include representatives from Academia and Research, Industry, Government and NGOs across Europe.
Official video of the project