3 Positions in Machine Learning and Data Mining / E-Democracy / Information Extraction - PostDoc / PhD student

The Institute for Web Science & Technologies (WeST) at the University of
Koblenz-Landau is offering three full-time researcher positions in the
field of Machine Learning and Data Mining.


The position belongs to an interdisciplinary research focus
„E-Democracy“ at the University of Koblenz-Landau. We aim to
understand how the internet affects democracy, how one can support
democracy through digitisation, and how one can detect misinformation
and violence in political online discourses. More details at
<http://west.uni-koblenz.de/en/research/e-democracy <http://west.uni-koblenz.de/en/research/e-democracy>>. The position is
available as of now and time-limited to three years. Post-Doc applicants
will be given preference for this position.


This position is part of the project „EXCITE –  Extraction of
Citations from PDF Documents“, funded by the German Research
Foundation (DFG). Together with GESIS – Leibniz Institute for the
Social Sciences we develop algorithms that extract references and
citations from PDF files and match these with bibliographic databases.
By this we aim to overcome the lack of citation data in the German and
international social sciences. More about EXCITE at
<http://west.uni-koblenz.de/en/research/excite <http://west.uni-koblenz.de/en/research/excite>>. The position is
available as of now, time-limited to one year, and in case of successful
extension of the research project it might become extended by two years.


Position no. 3 is part of a research cooperation with an industry
partner of WeST. Together we will investigate the potential capabilities
of neural networks for various monitoring applications in rail traffic.
Details about the intended project can be obtained from Prof. Dr.
Steffen Staab (<staab@uni-koblenz.de <mailto:staab@uni-koblenz.de>>). The position is available as of
now and time-limited to three years, subject to finalization of the
cooperation contract.


We are looking for researchers with a very good master's degree or
doctorate from a University (or equivalent). Eligible applicants are
interested in many scientific domains, gladly collaborate with
colleagues from other scientific disciplines, and can precisely identify
and carefully solve computer science-related issues with their
well-grounded programming capabilities.

In addition,

- applicants for position 1 ideally have experience in one of the areas
of text and data mining, information extraction, computational
linguistics, or computational social science, and they should speak
German fluently;

- prospective researchers for position 2 preferably have experience in
information extraction or machine learning;

- applicants for position 3 ideally have experience in one oft he areas
of machine learning, neural networks, signal processing and must speak
German fluently.


Applications submitted before 30th May will be given priority. Please
apply online via <https://west.uni-koblenz.de/en/app <https://west.uni-koblenz.de/en/app>> using one of the
following reference numbers:

- position 1: reference number 35/2017

- position 2: reference number excite/2017

- position 3: reference number mldm/2017

Questions about the application process can be addressed to
<west@uni-koblenz.de <mailto:west@uni-koblenz.de>>.


Web Science investigates how the technical structure of the Web affects
the activities of its 3.5 billion users and how their manifold
interactions stimulate the Web’s technical advancement in return.
Founded in 2009, the Institute for Web Science and Technologies (WeST)
combines expertise in research and development in computer science, the
social sciences, and economy. The institute is part of the computer
science faculty, located at the campus in Koblenz at the University of

We offer a creative, versatile, internationally renowned research
environment. We support your scientific curiosity and your doctorate or
habilitation. We offer a new campus with an excellent IT infrastructure
in one of the most livable cities in Germany.

Details about us can be obtained from <http://west.uni-koblenz.de/en <http://west.uni-koblenz.de/en>>

Received on Friday, 19 May 2017 13:55:44 UTC