Our research group has a long time experience in statistical
pattern recognition, knowledge based document analysis, and
information extraction.
The aim of information filtering is to select and rank relevant
texts of large text collections according to the requirement of
users and to forward these texts to the users. Personal filter
should be automatic adaptable to the user's needs.
Applicants should be familiar with search processes in electronic
nets and experienced in research in information retrieval, text
categorization, and user modelling. Linguistic competence (German
and English) and the skill to realize new concepts are required.
Knowledge of the architecture of search engines and familiarity with
hyper text representations are highly desirable.
The project will start in January 1997 and last 3 years. Further
information can be obtained by email from the address, below.
Please send resume and CV by August 1st 1996, to be considered for
this position to
Dr. Ingrid Renz
Daimler Benz AG
Research & Technology - F3M/T
P.O. Box 23 60
D-89013 Ulm, Germany
Phone 00 49 731 505 2351
Fax 00 49 731 505 4113
e-mail renz@dbag.ulm.DaimlerBenz.COM