[ANN] Open position as post-doc or PhD student

Knowledge Discovery deals with the content-driven identification and 
localization of digital objects such as semi-structured data on the web 
(i.e., Linked Open Data), Documents, Profiles, or Communities and 
understanding the relationships among them. It involves the design of 
innovative methodologies and algorithms and their application to 
extensive data and document corpora of different origin and quality, 
also known as Big Data.

For the EU-funded project MOVING, we seek to fill for the Knowledge 
Discovery group starting at 1.4.2017 (or by individual arrangement)

*/one Post-doctoral researcher (Post-Doc, EG 14 TV-L)/**/
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or

*/one doctoral researcher (PhD student, EG 13 TV-L)/**/
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The full-time-position is time-limited to 31.3.2019. Time-limitation is 
based on the regulations of the German WissZeitVG (Gesetz über 
befristete Arbeitsverträge in der Wissenschaft).

*Your tasks …**
*· Research and application of methods and algorithms in the area of 
Knowledge Discovery, Data Science and/or Semantic Web
· active participation in the EU Projekt MOVING in the area of Text 
Mining and semantic Information Retrieval

*Your profile …**
*· very good studies (University or University of Applied Sciences) in 
computer science or related subject (studies (Master’s degree, Diploma, 
or similar) need to be accomplished upon commencement of one’s duties)
· very good PhD in computer science or related subject (only for 
Post-Doc position)
· excellent analytical skills and ability to work independently
· interest in interdisciplinary and international research cooperation

*In addition we request …**
*· very good programming skills
· experience in the area of Knowledge Discovery, Data Science and/or 
Semantic Web (for PhD position: desired)
· experience in Text Mining and semantic Information Retrieval (desired)
· interest in research and willingness for vocational training with the 
goal of obtaining a PhD (for doctoral student) / advancing in the 
scientific career (Professorship) or headship in Research and 
Development (for Post-Doc)

*We offer …**
*· internationally highly visible and performance-oriented research team
· excellence supervision, close collaboration, and open-minded 
communication culture
· exciting job in a dynamic and very relevant research field
· a workplace at the Fjord of Kiel, one of Germany’s most beautiful 
landscapes, and good transport connection to the metropolitan area of 
Hamburg
· excellent environment for researchers in Kiel with Kiel University, 
one of Germany’s oldest universities with approximately 24,000 students 
today
· equal opportunity and family-friendly policies

*Got interested?*
Apply now online or via email. We are looking forward receiving your 
convincing application papers. Your application papers should contain a 
cover letter, a current CV, complete transcripts of university grades, a 
copy of the Master’s thesis (or PhD thesis), as well as a list of 
personal references. For inquiries about the open position please 
contact Prof. Dr. Ansgar Scherp (a.scherp@zbw.eu or 
asc@informatik.uni-kiel.de, Tel. +49 431 8814-443).

We aim to increase the proportion of women in its staff and encourage 
suitably qualified women to apply. Female candidates will be given 
priority in the case of equal suitability, competence and professional 
performance. We apply an equal opportunities policy for persons with 
recognized disabilities. Disabled persons with the necessary 
qualifications will therefore be given priority. Details about our Equal 
Opportunities policy can be found here: 
http://www.zbw.eu/en/about-us/equal-opportunities/

Please submit your convincing online application until*February 9, 2017.*

*You can submit your application here:**
**https://bewerbungen.zbw-kiel.de/?identifier=D3-01/en **
*
/The ZBW – Leibniz Information Centre for Economics is a public research 
institute of the extra-university research organization Leibniz 
Association and associated with Kiel University. Research and higher 
education has a long history in Kiel. The university was founded in 
1665. The computer science department has 18 professors and covers 
research in different areas of computer science as well as algorithm 
engineering and numerical mathematics. As such, ZBW is part of an 
excellent research environment. ZBW is a high-tech information 
infrastructure conducting research in computer science and related 
areas, particularly in Text and Data Mining, Semantic Web, and Science 
2.0. In addition, ZBW develops innovative technologies for operating the 
IT infrastructure for its own, world’s largest specialist library for 
economics. The research group Science 2.0 of ZBW comprises three 
professors on Knowledge Discovery (Prof. Scherp), Web Science (Prof. 
Peters), and Media Informatics (Prof. Tochtermann) and currently has 17 
PhD students and post-doctoral students.//
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