Today’s search engines perform much better at retrieving textual information than digital video information. The PetaMedia project (http://www.petamedia.eu) aims to improve the quality of search results for digital video by at least one order of magnitude. This innovation is being achieved by exploring and exploiting the synergies in combining three current multimedia search technologies, namely (1) automated multimedia content analysis; (2) collaborative tagging by users in social communities, and (3) distributed or peer-to-peer protocols for content recommendation (e.g., collaborative filtering). The realization of the envisioned video content labelling approach will be based on TU Delft’s Tribler P2P open source software.
The responsibility of the PhD researcher is to develop theory (models) and tools (algorithms) for cumulative and synergetic integration of various types of information available for content-based indexing and recommendation of video sequences, ranging from automatically obtained metadata and user-supplied tags to social and P2P network mechanisms for implicit user profiling and content recommendation (e.g. collaborative filtering).

University Graduate
The candidate should have an MSc adegree in Electrical Engineering, Informatics, Computer Science, Mathematics or a related field as well as a solid background in multimedia processing and pattern recognition. Demonstrable skills and interest in creative research are important, as are good personal communication skills and the ability to work independently as well as in a team. Proficiency in English, both spoken and written, is essential.
    

Delft University of Technology Electrical Engineering, Mathematics & Computer Science

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognized level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

The Department of Mediamatics focuses on media and knowledge processing. Four important application domains are telecommunications, consumer electronics, industrial automation, and life/health sciences. The department consists of three groups: 1) Information and Communication Theory: Processing, analysis, and interpretation of multimedia, biological and biomedical data with knowledge-based signal processing techniques; 2) Computer Graphics: Modelling, representation and visualization of 3D objects and scientific data; 3) Human Computer Interaction: Design, analysis, implementation and validation of human-machine systems and the application of AI techniques to enhance the interaction.
The Information and Communication Theory Group deals with Intelligent Information Processing. This includes the smart way of hiding, compression, filtering, analysis, and recognition of digital data, such as digital speech and audio signals, digital imagery and video, and multimedia signals.

Estimated maximum salary per month: eur 2500 - 3000

Maximum salary amount in Euro's a month 2558
Employment basis: Temporary for specified period
Duration of the contract: Four years
Maximum hours per week: 38

Additional conditions of employment:
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home, and the option of assembling a customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft strives to increase the number of women in higher academic positions; women are therefore especially encouraged to apply.

Additional information about the vacancy can be obtained from:

Alan Hanjalic
Telephone number: +31 (0)15-2783084
E-mail address:

 
Or additional information can be obtained through one of the following links.

You can apply for this job before 01-09-2008 by sending your application to:

When applying for this job always mention the vacancy number EWI2008-33.