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Uni-Weimar: Research positions in Big data analytics, IR, machine learning


The Web Technology and Information Systems Group has several positions for PhDs and Postdocs to help research in Big data analytics, information mining and retrieval, machine learning, natural language processing, and information extraction.



Weimar At: Uni-Weimar
Location: Weimar, Germany
Web: www.webis.de

Position: Research positions in Big data analytics, IR, machine learning

The Web Technology and Information Systems Group (www.webis.de) at Bauhaus-Universität Weimar, Germany, is inviting applicants (PhDs and Postdocs) for several positions of research assistants in the fields of Big data analytics, information mining and retrieval, machine learning, natural language processing, and information extraction. (Also see the the job advertisement at http://www.uni-weimar.de/de/universitaet/aktuell/stellenausschreibungen/m0210e/ or the German version at http://www.uni-weimar.de/de/universitaet/aktuell/stellenausschreibungen/0210/)

The engagement should start as early as possible within the next months (exact date is flexible) and is initially limited for two years; an extension is possible and will be expected. For non-Postdocs it is possible to do a PhD (Dr. rer. nat.). Salary is based on the collective agreement for public sector in Germany, 13 TV-L.

Prospective candidates should have finished (or expect to finish in the next months) a Master in computer science, mathematics, or a related field with excellent or very good grades. A solid background in mathematics and statistics is expected -- as well as good programming skills. We are an experienced research group where team spirit and active collaboration takes top priority. We are looking for an open-minded graduate who wants to develop herself or himself both as a researcher and a person. Our research group's working language is English; fluency in German is not required.

Interested and qualified candidates are asked to submit the following documents electronically as one pdf-file: a cover letter describing yourself and your interests, a detailed CV, academic transcripts stating courses taken and grades received, and a list of publications (if any).

E-Mail: webis [at] listserv.uni-weimar.de
Job reference number: M/WP-10/14
Closing date: March 10, 2014

We do not discriminate on the basis of religion, color, gender, age, or disability.

Web: www.webis.de