[Sigmetrics] Full professor position “Information Processing and Analytics”: Berlin School of Library and Information Science, Humboldt-Universität zu Berlin (application deadline: 4. December 2015)
vivien.petras at ibi.hu-berlin.de
Mon Nov 9 11:07:06 EST 2015
The Faculty of Arts and Humanities I, Berlin School of Library and
Information Science invites applications for a
Full Professorship in “Information Processing and Analytics” (W2)
starting at the earliest possible date.
Excellent research in basic (theory-building) and / or applied topics of
Information Science is expected, in particular approaches for the
computer-supported organization, analysis and processing of large
volumes of data and its impact on information and knowledge processes.
The professorship will complement and enrich the research and teaching
areas at the Berlin School (particularly Information Behavior and
The future professor should focus their research in one or more of the
following areas: Data Science, Data Analytics (also domain-specific
approaches such as Cultural Analytics or Scientometrics), Data Mining,
Big Data, Linked Data, Knowledge Representation, Data Architectures
(also Metadata Modelling), Databases and Data Stores as well as related
Besides independent scientific research and teaching, the position also
includes the recruiting of externally funded projects as well as the
supervising of BA, MA and PhD theses at the Berlin School.
The future holder of the position will be expected to teach in all study
programs of the Berlin School (BA and MA) and to assume responsibility
for selected course modules. Some of these currently running modules or
classes would be available: Communication Technology, Theory and
Development of Information Databases, Communication and Knowledge
Management, Semantic Web and Ontologies, Knowledge Management Systems
and Data Mining. It is of course also desirable if the candidate’s own
research profile would influence the design and re-design of course
modules, some of which will be taught in English.
The Berlin School expects very good didactic competencies, excellent
communication skills and a strong engagement in shaping the profile of
the School within the university and a worldwide research community. The
willingness to participate in the school’s academic self-government is
The applicants must meet the legal requirements of professorial
appointments in accordance with § 100 of the ‘Berliner Hochschulgesetz’.
Humboldt-Universität zu Berlin is seeking to increase the proportion of
women in research and teaching, and specifically encourages qualified
female scholars to apply. Researchers from abroad are welcome to apply.
Severely disabled applicants with equivalent qualifications will be
given preferential consideration. People with an immigration background
are specifically encouraged to apply.
Additional to the standard application materials (application letter,
curriculum vitae, diplomas, a detailed documentation of teaching
experiences as well as previous and future research projects, a
publication list with up to 5 full-text copies of newer publications),
the applicants need to submit an expose describing their ideas and
future research and teaching plans within the context of the Berlin School.
Please send your English-language application quoting the reference
number PR/027/15 until December 4th, 2015 to Humboldt-Universität zu
Berlin, Dekan der Philosophischen Fakultät I, Prof. Michael Seadle, PhD,
Unter den Linden 6, 10099 Berlin, Germany. To expedite the processing,
we ask applicants to submit the application material in the pdf format
to DekanPhilFakI at staff.hu-berlin.de as well. Because application
materials will not be returned, please only submit copies of official
Please visit the website
which gives access to the legally binding German version.
Vivien Petras, PhD
Professor for Information Retrieval
Berlin School of Library and Information Science
Humboldt University Berlin
Dorotheenstr. 26, 10117 Berlin, Germany
Tel: +49 30 2093-4325
Fax: +49 30 2093-4335
vivien.petras at ibi.hu-berlin.de
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