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<div style="direction: ltr;font-family: Tahoma;color: #000000;font-size: 10pt;">The Leibniz Institute for Educational Research and Educational
<br>
Information (DIPF) [1] in Frankfurt am Main is a federally and <br>
state-funded member of the Leibniz Association. The Ubiquitous Knowledge <br>
Processing Lab at the DIPF's Information Center for Education currently <br>
seeking a <br>
<br>
Research or Lead Scientist (full-time, for an initial term of two years, <br>
at the EG13 or EG14 TV-H pay grade) <br>
<br>
in the field of <br>
<br>
automatic language processing, text mining, and information management <br>
<br>
for the Frankfurt am Main location. <br>
<br>
The position is at the core of the new Ubiquitous Knowledge Processing <br>
working group under the leadership of Prof. Iryna Gurevych (UKP-DIPF) at <br>
the Frankfurt am Main location. The working group will cooperate closely <br>
with the Technology-based Assessment [2] and Information Management <br>
groups at DIPF, as well as with the Department of Computer Science <br>
(UKP-TUD [3], Prof. Iryna Gurevych) at the Technische Universität <br>
Darmstadt. It is part of a newly established institutional research <br>
priority for knowledge processing [4] at DIPF and the Technische <br>
Universität Darmstadt. <br>
<br>
The position's focus will be on automatic improvement of scientific <br>
publications, for which methods from text mining, knowledge extraction <br>
from unstructured text, and automatic language processing will be <br>
researched. The goal of this research is the production of novel, <br>
eScience-based research possibilities and the establishment of a new <br>
research area for this topic. This will necessarily involve close <br>
cooperation with the practitioners of pedagogical research at DIPF. <br>
<br>
Possible research topics in computer science include automatic linkage <br>
of textual documents, multi-document summarization, automatic <br>
recognition of topic structures and topic relations in scientific texts, <br>
analysis of opinions and trends in scientific literature, and automatic <br>
topic identification. <br>
<br>
The competition is open to highly qualified PhD holders and excellent <br>
holders of other degrees working towards a leadership position and <br>
scientific career. <br>
<br>
Requirements: <br>
- a very good to excellent completed doctoral or other <br>
degree in computer science (in natural language processing or a related <br>
field) <br>
- a good command of spoken and written English and at least basic <br>
knowledge of German <br>
- experience in research in text analysis and <br>
machine learning <br>
- the ability to program in Java <br>
- the ability to work <br>
independently, personal commitment and teamwork skills, communication <br>
skills, and a readiness to cooperate <br>
<br>
Additional requirements for applicants for the Lead Scientist position: <br>
- outstanding scientific qualifications as evidenced by publications in <br>
leading conferences <br>
- third-party funding and project management <br>
- experience in the development and implementation of university courses <br>
<br>
Applications from women are particularly encouraged. All other things <br>
being equal, candidates with disabilities will be given preference. <br>
<br>
The position is a fixed-term contract with an option to extend it, <br>
provided certain conditions are met. We offer the possibility of further <br>
scientific qualification towards a doctoral degree or Habilitation at <br>
the Technische Universität Darmstadt. The salary is based on TV-H (the <br>
collective bargaining agreement for public employees in Hesse). A <br>
part-time working arrangement is possible. <br>
<br>
As a scientific institution, the primary goals of the Leibniz Institute <br>
DIPF are high-profile basic research and innovative scientific services. <br>
Particular importance and visibility is attached to their application to <br>
education in the public sector. DIPF avails itself of the expertise of <br>
computer science at TU Darmstadt to build a research center for <br>
knowledge processing and educational computer science. <br>
<br>
The Department of Computer Science of TU Darmstadt is regularly ranked <br>
among the best in Germany. Among the distinguishing features of the <br>
nascent UKP-DIPF working group are its expertise in semantic language <br>
technology, text mining, and information retrieval, as well as its <br>
powerful infrastructures for the aggregation and evaluation of <br>
knowledge. <br>
<br>
Applications (including CV, details of previous academic work, <br>
educational and professional references, and final thesis and/or three <br>
key publications in electronic form) should be submitted under reference<br>
IZB 2012-05 by April 12, 2012 to gurevych (at) cs (dot) tu-darmstadt <br>
(dot) de. Applications submitted after the deadline may still be <br>
considered as long as the position remains unfilled. <br>
<br>
[1] http://www.dipf.de/ <br>
[2] http://tba.dipf.de/ <br>
[3] http://www.ukp.tu-darmstadt.de/ <br>
[4] http://www.werc.tu-darmstadt.de/ <br>
<br>
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