[GTER] Fwd: Bolsa de Pós-Doutorado na UFSCar-LIP6/INRIA e UFSCar-Yahoo Research Labs Chile

Cesar Marcondes marcondes at dc.ufscar.br
Thu Feb 20 09:35:26 -03 2014


Temos 2 bolsas de Pós-Doutorado CAPES/STIC-Amsud, para trabalhar no
Projeto "RESPOND: Reputation and Energy aware Search for SupPorting
Natural Disasters".

As bolsas têm duração de até 12 meses, 1 das bolsas é para trabalhar
em Santiago no Chile (em parceria com a Yahoo Research Labs) e a outra
bolsa para trabalhar em Paris, junto com a equipe do LIP6/UPMC/INRIA.
O projeto RESPOND conta com a colaboração de 4 equipes participantes
do projeto: LIP6/UPMC/INRIA(França), Yahoo! Labs e USACH (Chile),
Universidade de San Luis (Argentina), e UFSCar.

As bolsas disponíveis são destinadas a estágio de Pós-Doutorado.

Veja no final desta mensagem os temas nos quais os bolsistas deverão
atuar. As candidaturas bem como todo o procedimento de aplicação das
bolsas será de responsabilidade da equipe UFSCAR.

Interessados devem entrar em contato comigo pelo email
marcondes at dc.uscar.br ou hermes at dc.ufscar.br

Cesar Marcondes


Project: RESPOND - Reputation and Energy aware Search for SupPorting
Natural Disasters
Research Funded by CAPES STIC-AMSUD

Posdoc 1 - Mobility and Protocols (LIP6/UPMC/INRIA - França)

Upon the occurrence of a natural disaster in an urban zone, it is
expected a sudden rise of a large number of people making intensive
use of mobile phones to get information. At the same time, a huge
amount of information is expected to be (also suddenly) generated from
many different sources. On the other hand, in such a situation
connectivity between nodes may be disrupted which leads to a lack of
continuous end-to-end communication paths and temporarily or permanent
network partitions. In this sense, the use of opportunist networks is
very appropriate. Furthermore, a model that expresses the mobility of
persons in such scenarios should also be taken into account.

The objective of the current post-doc is to characterize the
dissemination and retrieval of information in disaster scenarios
aiming to improve both of them. To this end, we firstly intend to
evaluate the performance of some existing routing algorithms,
considering some mobility models patterns in order to characterize
dissemination of information in realistic disaster scenarios. The
experiments will be conducted on top of The One simulator. Then, based
on this evaluation study, our aim is to propose new routing protocols
or information retrieval/dissemination solutions for such scenarios.

Posdoc 2 - Processing Data Streams (Yahoo! Labs - Chile)

Upon the occurrence of a natural disaster in an urban zone, it is
expected a sudden rise of a large number of people making intensive
use of information systems (e.g., mobile applications, social
networks, news sites, etc.) to get information. At the same time, a
huge amount of information is expected to be suddenly generated from
different  (and potentially numerous) data sources. The capacity to
process such streams of data sources is crucial for providing people,
and government bodies valuable information and services under
emergency situations and disaster events. In the recent past,
frameworks such as Mapreduce has been successfully adopted by several
companies and enterprises to process offline data. However, the online
processing of large data streams arises as big challenge.

The objective of the current post-doc is to investigate strategies and
techniques for the processing of online streams of information coming
from different data sources, considering real time critical
applications (emergency management). Frameworks (e.g., such as
alternatives to traditional Mapreduce, and the ongoing Apache S4
project) should be investigated as alternatives for such scenario. In
such scenario, scheduling and resource management strategies should be
proposed and assessed to guarantee scalability and timely responses.

Practical information:

The post-doctoral position is funded by Capes (Brazil), as part of the
RESPOND project, a two year joint STIC-Amsud Project with the
University of Paris 6 (France), Federal University of Sao
Carlos-UFSCar (Brazil), University of Santiago and Yahoo Research
(Chile), and University of San Louis (Argentine). It will be located
either in Yahoo Research Labs in Santiago Chile or in LIP6
(Laboratoire d'Informatique de Paris 6) within Regal team.  Work will
be done in collaboration with the other teams of RESPOND project.

Salary is 2,100 dollars or euros (if Europe) per month and the
post-doc should start either immediatily or until july 2014, for a
duration of one year. For further information see:


PhD in computer science or related field is mandatory (for both positions).

Expertise in opportunist network protocols and simulation (posdoc 1)
Expertise in parallel and distributed processing, and simulation is
desirable (posdoc 2)


** Candidates should send a resume and recommendation to
marcondes at dc.ufscar.br and hermes at dc.ufscar.br with the subject
"RESPOND - Posdoc candidature".

Further information about the application process can be found here:

- About the STUC-AMSUD program:

- Application process:

- Values and support:

Prof. Dr. Cesar Marcondes
Departamento de Computação (DC)
Universidade Federal de São Carlos (UFSCar)
Tel. (16) 3351-8145, (16) 99221-1586
Email: marcondes at dc.ufscar.br

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