If tomorrow comes…

We are seeking a full-time postdoctoral researcher with strong background in
algorithms and data management to join a research project in the area of
Mobile/Sensor/Privacy-

Nokia is the world’s leading manufacturer of mobile devices, producing more than 500 million a year. These devices are increasingly equipped with rich communication, media and sensing capabilities. In addition, Nokia is moving rapidly into mobile services that cater to these devices. These new capabilities and services bring great opportunities for innovative research into data management, analysis, and visualization of a complex and potentially valuable data set.

The Context, Content, and Community (C3) Team in Nokia Research Center Palo Alto is researching how to extract value from these complex data sources, and how best to transfer that value to the consumers. We are an agile, highly focused team. Our work involves a number of challenging research areas, including large-scale mobile systems, database systems, data mining and visualization. Above all we value innovative thinking, rapid prototyping, a sense of curiosity, and a love for working with data.

The C3 team is currently looking for a Visual Analytics researcher with the following qualities: You must have the ability to transform seemingly chaotic information into informative and intuitive visualizations. You enjoy working closely in a multi-disciplinary team where you are expected to provide leadership and help define the overall research agenda. You have strong technical expertise with visualization tools and programming languages.  You are eager to experiment with new visualization techniques, a desire to innovate in this field, and committed to creating value for consumers.

If this describes you, please send your resume to ext-ginny.borelli@nokia.com for consideration.

Nokia is the world’s leading manufacturer of mobile devices, producing more than 500 million a year. These devices are increasingly equipped with rich communication, media and sensing capabilities. In addition, Nokia is moving rapidly to develop mobile services that cater to these devices. These new capabilities and services bring great opportunities for innovative research related to data management, analysis, and visualization of complex heterogeneous data sets.

The Context, Content, and Community (C3) Team at Nokia Research Center Palo Alto is researching how to extract value from these complex data sources, and how best to transfer that value to the consumers. We are an agile, highly focused team. Our work involves a number of challenging research areas, including large-scale mobile systems, database systems, data mining and visualization. Above all we value innovative thinking, rapid prototyping, a sense of curiosity, and a love for working with data.

The C3 team is currently looking for a Data Analytics researcher with practical experience in machine learning and data mining. We are looking for the following qualities in a candidate: You enjoy working closely in a multi-disciplinary team where you are expected to provide leadership and help define the research agenda. You have a strong desire to see your ideas running in real, large-scale systems that create value for consumers. You are motivated to create usable and reliable prototype systems on a variety of platforms, from mobile devices to server clusters running map-reduce frameworks. You are able to express your ideas in a variety of programming languages, particularly Python and R. You are eager to experiment with new techniques, and desire to innovate in this field.

If this describes you, please send your resume to ext-ginny.borelli@nokia.com for consideration.

Lecturer/Senior Lecturer in Computer Science
University of Queensland, Australia

The University of Queensland is a leading research-intensive university in
Australia. Now we have an opening for a faculty position in Computer Science at
the level of Lecturer or Senior Lecturer within the School of Information
Technology and Electrical Engineering. We seek an excellent person in the area
of data and knowledge engineering (including database systems, data quality
managment and data mining). This is a full-time, continuing position,
affiliated with the Data and Knowledge Engineering (DKE) Research Group,
currently consists of five faculty members, five postdoctoral research fellows
and over 30 PhD students.

Responsibilities will include teaching at undergraduate and postgraduate
levels, research, and supervision of postgraduate students. The remuneration
package will be in the range of $83,033 to $98,602 per annum (Lecturer) or
$101,715 to $117,284 per annum (Senior Lecturer), which includes employer
superannuation contributions of 17%.

Further information about this position and how to apply can be found at
http://seek.com.au/showjob.asp?jobid=15161016 (deadline: 24 April 2009).
Additional information about the DKE group at UQ can be found from my website
(http://www.itee.uq.edu.au/~zxf).

This position is open to international applicants. The University of Queensland
will assist the successful applicant to apply for working permit or Australian
permanent residency.

Professor Xiaofang Zhou
Head, Data and Knowledge Engineering
School of Information Technology and Electrical Engineering
University of Queensland, Brisbane, QLD 4072, Australia
Phone: (61-7) 33652989
Fax: (61-7) 33653248
Web: http://www.itee.uq.edu.au/~zxf

UNIVERSITY OF CYPRUS
DEPT. OF COMPUTER SCIENCE

ANNOUNCEMENT FOR A MARIE CURIE POSTDOCTORAL RESEARCH FELLOWSHIP

The Department of Computer Science, University of Cyprus, announces
the opening of one (1) Postdoctoral Research Fellow position in the
area of Data Management for Large-Scale Network-centric
Infrastructures (e.g., Grid, Web 2.0). The position is for two (2)
years, starting in early 2009. Funding comes from the European Union,
under the Marie Curie Transfer of Knowledge (TOK) project SEARCHiN. We
are primarily seeking candidates with a specialization in areas such
as Semi-structured Data Management, the Semantic Web, and Metadata
Information Integration. Exposure to global computing environments,
such as network-centric systems, Grids, Web 2.0 will be considered a
plus.

Requirements and Eligibility Criteria: The Research Fellow is expected
to conduct original, independent research in collaboration with
faculty members and other postdoctoral fellows, and to actively
contribute to various academic activities (seminars, advanced courses)
planned in the context of the project. Requirements for applicants are
a Ph.D. in Computer Science or related field, with a total research
experience of 4-10 years (including the years of Ph.D. study). The
Research Fellow must be a national of a state other than the Republic
of Cyprus. Furthermore, the Fellow must not have resided, worked or
studied in Cyprus for more than 12 months out of the three years
immediately prior to either the time of application, or the start of
her work. Exceptions from the first rule may be granted for European
researchers that have been working outside the EU for a long period.
(For more details on the eligibility criteria see
http://europa.eu.int/comm/research/fp6/mariecurie-actions

)

Funding: The yearly funding for fellowships will range from 48000 -
54000 euros (gross, depending on family status etc.), including
monthly living allowance and mobility allowance (subject to deductions
according to national laws). Other benefits included are travel and a
career exploratory allowance (for stays of more than 12 months). The
Fellowships are in accordance to Marie Curie rules.

Overview of the project: Recent developments in Grid Computing, the
World-Wide Web, and Global Computing are turning the Internet into a
network-centric computing infrastructure whose scope, scale, and
user-base grow at an impressive pace. As this infrastructure moves
into the mainstream of scientific and technological activity, it
becomes the prevalent medium for scientific work, for
multi-disciplinary scientific collaboration, and for decision support
in an ever-increasing number of scientific, engineering, and societal
sectors. In this context, enormous amounts of data are being generated
and stored, creating a Web of data and metadata. Consequently, the
management of data is becoming a major challenge for the successful
operation and use, and the continuous growth of the infrastructure. In
particular, searching appears as an indispensable tool for discovering
information and knowledge regarding available resources, capabilities,
services, and data. The successful paradigm of searching for textual
information on the Web cannot be applied directly to support searching
within the Web. Therefore, the searching problem needs to be
addressed in a different context, and search needs to become an
integral part of future infrastructures. In the SEARCHiN project
(SEARCHing In a Networked world), we plan to combine methods from
parallel and distributed computing, meta-data management, information
retrieval, and the semantic Web in order to achieve the scientific and
technological advances necessary to bring the simplicity and
effectiveness of Web search right at the core of future global,
network-centric computing systems.

Host institution: The project is operated by the High-Performance
Computing Systems Laboratory (HPCL) of the Computer Science Department
at the University of Cyprus. The Laboratory is a member of the
CoreGRID European Research Network of Excellence in Grid and
Peer-to-Peer Technologies and operates the Cypriot node of the EGEE
Grid infrastructure. More information on HPCL can be found under
http://grid.ucy.ac.cy

. A successful candidate will have the
opportunity to collaborate with a dynamic faculty team having a
distinguished track record of previous research, a strong network of
international collaborators at leading institutions in Europe and the
United States, access to state-of-the-art in-house computational
resources and to major international network-centric infrastructures,
such as EGEE and PlanetLab. The other partners in the SEARCHiN program
are the University of Athens, Greece (Department of Informatics and
Telecommunications, Dr. Yannis Ioannidis, http://www.di.uoa.gr

) and
the University of Manchester, UK (School of Computer Science,
Dr. Rizos Sakellariou, http://www.cs.man.ac.uk

)

Inquiries: Interested candidates should contact Dr. Marios Dikaiakos
(mdd@cs.ucy.ac.cy). Please supply a cover letter with expression of
interest and availability, an up-to-date curriculum vitae and a list
of at least two (2) references (position code:
ER3-MTKD-CT-2006-042467).