Postdoctoral Researcher Positionion "Big Data Analytics Systems and Algorithms at TU Berlin, Germany

Postdoctoral Research Position in "Big Data Analytics Systems" at TU Berlin


Area of Work
The Database Systems and Information Management Group (DIMA) at Technische
Universität Berlin is looking for a postdoctoral researcher in the area of
"big data analytics", for an initial funding period of one year, with the
option for extension for up to another three years upon successful renewal
of the Stratosphere project (www.stratosphere.eu), which will be decided
in July 2013.

The goal of Stratosphere is to jointly with researchers at other
institutions in Berlin, Europe, and worldwide conduct research and build
a large-scale data processor for executing complex data analysis programs
on huge, heterogeneous, high-velocity data sets. We plan to conduct
research that will lay the foundation for automatic optimization and
processing of stateful and iterative data analysis programs in a massively
parallel, fault-tolerant way. We will be researching a data programming
model based on functional programming, bringing together compiler
technology (Java, Scala, JVM) and parallel database systems and query
optimization. We will be looking at real-world use-cases in the area of
machine learning, information extraction, and data profiling. Our work
will be made available open-source. We intend to evaluate our research
jointly with other research institutions and companies in real-world
application settings.


Requirements:
Applicants should have completed a PhD in database systems, and have the
zeal to work in a leading research environment at the forefront of
technology innovation, interested in building systems and putting research
results into practical use. Ideally you have specialized in the area of
query processing or optimization, during your PhD, with additional skills
in programming languages and compilers, distributed systems, programming
languages design, parallel programming, or benchmarking and system
evaluation, documented by a strong publication record. A good knowledge of
Hadoop internals, the map/reduce programming model, as well as parallel
database implementation skills will be useful. Moreover, a good command of
skills in the areas of mathematics, statistics, as well as analytical and
project management skills will be useful. Proficiency in English and a
track record of strong research publications is a prerequisite. German is
not required, but basic German skills or intere!
st in learning the language will be helpful for day to day interactions.


About Berlin, TU Berlin, and the School of Electrical Engineering and
Computer Science (EECS):
Berlin, the capital of Germany, is a cosmopolitan, international city in
the heart of Europe, with a very large research and science ecosystem as
well as a very active and dynamic startup scene, in particular in the
information technology area.

TU Berlin is one of the leading science and engineering universities in
Germany. TU Berlin is also the German node of the ICT Labs of the European
Institute of Technology (EIT), the leading European science and technology
institution funded by the European Commission, focusing on teaching,
research, and innovation in the area of information and communication
technologies.

The EECS department at Technische University Berlin (TUB) is consistently
ranked among the top places in evaluations such as the CHE-ranking, with
several faculty members winning prestigious awards (e.g., scientific
awards like the Leibniz Award, Alexander-von Humboldt Professorship, or
even Emmys).

To apply please, submit an electronic application in the following form:
- motivation letter
- complete CV
- copies of certificates from all degrees (BSc, MSc, Ph.D.)
- list of publications, including three examples
- references with contact information (e-mail, phone)
in a SINGLE pdf to Volker Markl (prof@dima.tu-berlin.de) at Technische
Universität Berlin.

Please note that applications not following this format will not be
considered.

There is no fixed deadline for applying. Positions will be filled as soon
as possible.

Further information:
Research Group: http://www.dima.tu-berlin.de/
Project: https://www.stratosphere.eu/
TU Berlin: http://www.tu-berlin.de/menue/home/parameter/en/
EIT: http://www.eitictlabs.eu/
Berlin: http://www.berlin.de/en/
Volker Markl: http://www.user.tu-berlin.de/marklv/