[Infovis] Research Internships - Visual Analytics for Language Processing and Text Mining

[Daniela Oelke]

The Leibniz Institute for Educational Research and Educational 
Information (DIPF) <http://www.dipf.de/> in Frankfurt am Main is a 
federally and state-funded member of the Leibniz Association. The 
Ubiquitous Knowledge Processing Lab at the DIPF's Information Center for 
Education currently seeking


  Research Interns


      (for a term of six months)

in the field of


    Visual Analytics for Language Processing and Text Mining

for its Frankfurt am Main location.

The position is part of the establishment of the new working branch of 
the Ubiquitous Knowledge Processing Lab under the leadership of Prof. 
Iryna Gurevych (UKP-DIPF) at the Frankfurt am Main location. The Lab 
cooperates closely with the Technology-based Assessment 
<http://tba.dipf.de/> and Information Management groups at DIPF, as well 
as with the Department of Computer Science (UKP-TUD 
<http://www.ukp.tu-darmstadt.de/ukp-home/>, Prof. Iryna Gurevych) at the 
Technische Universität Darmstadt. It is the core of a newly built 
institutional research priority for knowledge processing 
<http://www.werc.tu-darmstadt.de/> at DIPF and the Technische 
Universität Darmstadt.

The UKP Lab conducts research in the intersection of language processing 
and machine learning, text mining, and knowledge discovery in the Web. 
The Lab's approach combines the foundations of large-scale language 
processing, real-world text mining, and hands-on skills in the rapid 
development of scalable systems with practical relevance.


        Requirements

We are looking for graduate students that would like to work on projects 
that research and apply visual analytics methods for language processing 
and text mining, with substantial theoretical knowledge, excellent 
problem-solving and programming (Java) skills for language processing 
and visualization, eagerness to apply the knowledge and skills in new 
contexts, and interest to participate in internationally competitive 
research leading to publications in the respective cutting-edge 
conferences. The ability to work independently, personal commitment, 
teamwork and communication skills, and a readiness to cooperate are 
required. The ability to speak German is desired, but is not a hard 
requirement. Experience in visual analytics and/or data visualization, 
as well as natural language processing, text mining, and machine 
learning is a plus.

The position is ideally suited for individuals willing to acquire 
graduate-level research experience to qualify as a PhD student, research 
associate, or for an industry position.

Applications from women are particularly encouraged. All other things 
being equal, candidates with disabilities will be given preference.

The position is a fixed-term contract with an option to extend it, 
provided certain conditions are met. A part-time working arrangement is 
possible.

As a scientific institution, the primary goals of the Leibniz Institute 
DIPF are high-profile basic research and innovative scientific services. 
Particular importance and visibility is attached to their application to 
education in the public sector. DIPF avails itself of the expertise of 
computer science at TU Darmstadt to build a research center for 
knowledge processing and educational computer science.

The Department of Computer Science of TU Darmstadt is regularly ranked 
among the best in Germany. Among the distinguishing features of the 
nascent UKP-DIPF working group are its applications of semantic language 
technology, text mining, and information retrieval, as well as its 
powerful infrastructures for the aggregation and evaluation of knowledge.

Applications (including CV, details of previous academic work, 
educational and professional references, and final thesis in electronic 
form) should be submitted by *March 17, 2012* to * gurevych (at) cs 
(dot) tu-darmstadt (dot) de 
<javascript:linkTo_UnCryptMailto('ocknvq,iwtgxaejBeu0vw/fctouvcfv0fg');>*.