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)
or
one doctoral researcher (PhD student, EG 13 TV-L)
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.sc...@zbw.eu or a...@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.