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! <br>
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<div class="moz-text-flowed" style="font-size: 13px;"
lang="x-western">! Multiple Research Positions in "Big Data"
Analytics on Scientific Databases <br>
! <br>
<br>
The Large-Scale Scientific Information Systems group [1] has
several fulltime, fully funded research programmer, PhD, and
postdoc positions available for bright, enthusiastic minds
willing to deliver. <br>
<br>
Array databases extend (relational) database models with query
and storage support for large multi-dimensional arrays. In the
Earth sciences These occur, e.g., as 1-D sensor time series, 2-D
satellite maps, 3-D x/y/t image time series and x/y/z seismic
data, and 4-D x/y/z/t climate / ocean modelling data. Likewise,
Life Sciences need array support, e.g., for 3-D/4-D brain images
and gene expression data. "Large" in this context means
Terabyte, Petabyte, and in future Exabyte sizes per single
object. Queries range from simple data extraction to complex
ad-hoc processing. <br>
<br>
Jacobs University has a strong reputation and leading position
in array databases. Topics addressed in our research group
encompass all aspects of array databases, encompassing
conceptual modeling, query languages, optimization,
architectures, parallelism, distribution, benchmarking, and
applications in Earth, Space, Life, and further sciences;
recently, we are transcending the array paradigm towards further
scientific data types. Our research platform is open-source
rasdaman ("raster data manager") [2,3], the first operationally
used and "most comprehensive" [Rona Machlin, ACM PoDS]
implementation of an array DBMS. Tight project collaborations
exist with earth, space, and life science researchers worldwide,
such as NASA and ESA. In the Open Geospatial Consortium we are
shaping interoperable geo service standards [4]. In 2011, we
have established the Array Databases Workshop to establish a
community platform. <br>
<br>
Salaries are highly competitive. PhD students will be funded for
three years, in which they are expected to complete their PhD;
an internship at some partner institute are foreseen. Research
programmer and Postdoc positions will be for two years
initially, with an option to prolong depending on performance.
Additional funding - e.g., for conference trips - is available
for team members who achieve and maintain excellent performance.
The work will be roughly split between basic research and
application development. <br>
<br>
Requirements: You, the successful candidate, will have a degree
in Computer Science, a solid background in databases,
demonstrated programming skills in C++ and/or Java, enthusiasm
to deliver spearhead contributions, and interest (postdoc:
experience) in highly interdisciplinary research. You are strong
in team work and both written and oral communication. Excellent
command of English is a must, no knowledge of German language is
required. <br>
<br>
Jacobs University Bremen is an international research university
located in the North of Germany, close to the Sea. The
university has been recognized as "elite university" by the New
York Times. The Computer Science Department has been ranked in
top positions by karriere.de and CHE. In this all-english
environment students from 110 nations experience an optimal
teacher/student ratio of about 1:10. Jacobs offers a spectrum of
services, such as career planning, language training courses, as
well as general counselling. Not the least, there is a vibrant
social life with manifold student clubs and activities on and
off campus. Living costs are below German average, finding
housing not a problem. Besides Bremen, there are further vibrant
cities in the vicinity, such as Hamburg and Hannover.
Netherlands and Denmark are around the corner. <br>
<br>
For applying, contact Peter BAUMANN by email with subject "big
data analytics position", attaching a detailed CV and all
further relevant material, such as transcripts and publications.
For postdoc applications, two referees are required in addition.
<br>
<br>
Links: <br>
[1] <a class="moz-txt-link-abbreviated"
href="http://www.jacobs-university.de/lsis">www.jacobs-university.de/lsis</a>
<br>
[2] <a class="moz-txt-link-abbreviated"
href="http://www.rasdaman.org">www.rasdaman.org</a> <br>
[3] <a class="moz-txt-link-abbreviated"
href="http://www.earthlook.org">www.earthlook.org</a> <br>
[4] <a class="moz-txt-link-abbreviated"
href="http://www.opengeospatial.org/standards/wcs">www.opengeospatial.org/standards/wcs</a>
<br>
[5] <a class="moz-txt-link-abbreviated"
href="http://www.earthserver.eu">www.earthserver.eu</a> <br>
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<pre class="moz-signature" cols="80">--
Dr. Peter Baumann
- Professor of Computer Science, Jacobs University Bremen
<a class="moz-txt-link-abbreviated" href="http://www.faculty.jacobs-university.de/pbaumann">www.faculty.jacobs-university.de/pbaumann</a>
mail: <a class="moz-txt-link-abbreviated" href="mailto:p.baumann@jacobs-university.de">p.baumann@jacobs-university.de</a>
tel: +49-421-200-3178, fax: +49-421-200-493178
- Executive Director, rasdaman GmbH Bremen (HRB 26793)
<a class="moz-txt-link-abbreviated" href="http://www.rasdaman.com">www.rasdaman.com</a>, mail: <a class="moz-txt-link-abbreviated" href="mailto:baumann@rasdaman.com">baumann@rasdaman.com</a>
tel: 0800-rasdaman, fax: 0800-rasdafax, mobile: +49-173-5837882
"Si forte in alienas manus oberraverit hec peregrina epistola incertis ventis dimissa, sed Deo commendata, precamur ut ei reddatur cui soli destinata, nec preripiat quisquam non sibi parata." (mail disclaimer, AD 1083)
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