The Division of Computational Linguistics in the Department of
Linguistics at the University of Tübingen, Germany is searching for a
a computational linguist
with research experience in one or more of the following areas:
stochastic and corpus-based approaches to computational
linguistics; machine learning; finite-state approaches to
computational linguistics; computational lexicography.
Knowledge of German is highly desirable. Preference will be given to
applicants in the above mentioned areas. However, outstanding
applicants in other areas of computational linguistics who complement
existing strengths in the department will be considered. Duties for
this post include independent research and participation in
externally-funded, on-going research projects. Further information
about the department can be found at
www.sfs.nphil.uni-tuebingen.de
The earliest starting date for the position is January 1, 2002. The
position is funded until December 31, 2005. However, shorter periods
of employment are also possible.
The position is at the rank of "Wissenschaftlicher Mitarbeiter"
(M.A. or equivalent required; Ph.D. or equivalent preferred). The
salary is determined by the German civil servants payscale
(Vergütungsgruppe BAT IIa) and amounts to approximately 42.000 Euro
per year. The exact salary amount varies depending on age and marital
status.
Applications should include CV and an outline of research
experience/interests. Names and addresses of references would be
helpful. Applications should be sent by mail or email to the address
below.
Prof. Erhard W. Hinrichs
Seminar für Sprachwissenschaft, Abt. Computerlinguistik
Eberhard-Karls Universität Tübingen
Wilhelmstr. 113
D-72074 Tübingen, Germany
email: eh@sfs.nphil.uni-tuebingen.de
Applications received by December 31, 2001 will receive full
consideration, although interviews may start at any time and will
continue until the position has been filled.
Disabled applicants will be preferred when having the same
qualification. The University of Tübingen strives to increase the
proportion of women in research and teaching, and therefore encourages
qualified female scientists to apply.
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