Holland: PhD position in Content Analysis & P2P Networking

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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.
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


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.
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.

Conditions of employment

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.
Delft strives to increase the number of women in higher academic
positions; women are therefore especially encouraged to apply.

Additional Information

Additional information about the vacancy can be obtained from:

Alan Hanjalic
Telephone number: +31 (0)15-2783084
E-mail address: A.Hanjalic@TUDelft.nl
Or additional information can be obtained through one of the following links.

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

Mrs. M.J.B. Kole/Human Resources

E-mail address: peno-ewi@tudelft.nl

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


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