Jun 3, 2013

Postdoc, "Big Data Analytics Systems and Algorithms, TU Berlin

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.

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 interest 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.eitictla bs.eu/
Berlin: http://www.berlin. de/en/
Volker Markl: http://www.user. tu-berlin. de/marklv/