Institute of Telecommunications is offering PhD
research positions in Multimedia Signal Processing in Portugal. It is a yearly
renewable contract which consists of a tax-free stipend starting at 1000 € per
month. International applicants can apply for this position. Candidates must
have fluency in English and good programming skills. Online application should
be send by no later than 15 July 2013.
research positions in Multimedia Signal Processing in Portugal. It is a yearly
renewable contract which consists of a tax-free stipend starting at 1000 € per
month. International applicants can apply for this position. Candidates must
have fluency in English and good programming skills. Online application should
be send by no later than 15 July 2013.
Study Subject (s): The
research grant is awarded in Multimedia Signal Processing at Institute of
Telecommunications in Portugal.
Course Level: This grant is for pursuing PhD research programme at
Institute of Telecommunications in Portugal.
Scholarship Provider: Institute of Telecommunications
Scholarship can be taken at: Portugal
research grant is awarded in Multimedia Signal Processing at Institute of
Telecommunications in Portugal.
Course Level: This grant is for pursuing PhD research programme at
Institute of Telecommunications in Portugal.
Scholarship Provider: Institute of Telecommunications
Scholarship can be taken at: Portugal
Eligibility: –
Background on the relevant technical areas.
-Preference will be given to candidates that better understand visual
compression, computer vision and information retrieval fields.
-Strong motivation to perform research and to participate in a rich and
stimulating project as well as to advance state-of-the-art through the
publication of results in international conferences and peer reviewed journals.
-In addition, the candidate should have good organizational skills and be able
to work in a team.
-Fluent in English and with good skills in technical writing and presenting.
-Good programming skills (C/C++, Matlab, etc.) are required.
Background on the relevant technical areas.
-Preference will be given to candidates that better understand visual
compression, computer vision and information retrieval fields.
-Strong motivation to perform research and to participate in a rich and
stimulating project as well as to advance state-of-the-art through the
publication of results in international conferences and peer reviewed journals.
-In addition, the candidate should have good organizational skills and be able
to work in a team.
-Fluent in English and with good skills in technical writing and presenting.
-Good programming skills (C/C++, Matlab, etc.) are required.
Scholarship Open for Students of Following
Countries: International researchers are eligible for this
grant.
Countries: International researchers are eligible for this
grant.
Scholarship Description: Visual sensor networks can be characterized by wireless
battery-operated sensing nodes that are empowered with sight and are capable of
complex visual analysis tasks. Since each node has severe energy constraints,
it is imperative to optimize the computation, coding and communication of
visual data. One promising approach is to reverse the conventional
compress-than-analyze paradigm. In this case, image features are collected by
sensing nodes, processed, and delivered to final destination(s) to enable
higher level visual analysis tasks by means of either centralized or
distributed classifiers. The MSP (Multimedia Signal Processing) group
participates in the Green Eyes project, a European Union FP7 FET (Future and
Emerging Technologies) project that tackles the encoding and transmission of
visual features in resource constrained sensor networks. The positions
available regard the development of the novel feature coding schemes to support
the joint analyze-and-compress paradigm in visual sensor networks and the
demonstration and validation of the results achieved by means of a working
prototype on a real wireless sensor node platform. In this context, the
techniques for feature extraction and coding must support the energy and
bandwidth constraints of the sensing nodes without a significant impact in
terms of analysis task efficiency.
battery-operated sensing nodes that are empowered with sight and are capable of
complex visual analysis tasks. Since each node has severe energy constraints,
it is imperative to optimize the computation, coding and communication of
visual data. One promising approach is to reverse the conventional
compress-than-analyze paradigm. In this case, image features are collected by
sensing nodes, processed, and delivered to final destination(s) to enable
higher level visual analysis tasks by means of either centralized or
distributed classifiers. The MSP (Multimedia Signal Processing) group
participates in the Green Eyes project, a European Union FP7 FET (Future and
Emerging Technologies) project that tackles the encoding and transmission of
visual features in resource constrained sensor networks. The positions
available regard the development of the novel feature coding schemes to support
the joint analyze-and-compress paradigm in visual sensor networks and the
demonstration and validation of the results achieved by means of a working
prototype on a real wireless sensor node platform. In this context, the
techniques for feature extraction and coding must support the energy and
bandwidth constraints of the sensing nodes without a significant impact in
terms of analysis task efficiency.
Duration of award (s): The research grant is associated with a yearly renewable contract that
includes an experimental period of 6 months.
includes an experimental period of 6 months.
What does it cover? The research grant consists of a tax-free stipend of 1000 € per month
for PhD positions.
for PhD positions.
Notification: Selected
candidates will be interviewed.
candidates will be interviewed.
How to Apply: The mode
of applying is online.
To apply for the research grant, please submit your application at
https://itlisbon.recruiterbox.com/jobs/11034 with the following documents:
1. Detailed curriculum vitae with transcripts
2. A motivation letter (research statement) explaining your interest in the position
3. Recommendation letter(s).
of applying is online.
To apply for the research grant, please submit your application at
https://itlisbon.recruiterbox.com/jobs/11034 with the following documents:
1. Detailed curriculum vitae with transcripts
2. A motivation letter (research statement) explaining your interest in the position
3. Recommendation letter(s).
Scholarship Application Deadline: Applications shall be received no later than 15 July 2013.
