Within the German Research Foundation funded Project H02 Text Mining and
Explicating Instructions for Everyday Activities within the
Collaborative Research Center SFB 1320 ?Everyday Science and
Engineering?, the University of Bremen (Faculty 10: Linguistics and
Literary Studies) is offering, within the subject area of Linguistics
and under the terms of the job release, the position of a:
Salary level 13 TV-L (100%)
limited until the end of June 2021, in the field of:
Linguistics / Computational Linguistics:
Text Analysis + Interpretation
Reference number A303/17
Despite the seeming ease with which humans perform everyday activities
such as, for example, (un)loading a dishwasher or setting the table,
mastery of everyday activities by artificial cognitive agents has yet to
be achieved. By focusing on the understanding of textual instructions,
the aim of this project is to facilitate building artificial cognitive
agents that master complex human-scale understanding of vaguely
specified instructions. To this end project work will apply natural
language processing techniques coupled with human computation
applications to explicate underspecified and ambiguous texts. A
particular focus of the project will be on generative game design for
human computation games. Here the information mined from textual
instructions serves as input to be turned into game assets with which
human player can interact and consequently provide appropriate
? Contributing to the development of an unrestricted text
processing pipeline converting raw text input giving
instructions to semantic representations.
? Creating interfaces to other components of the project:
particularly to game design and to simulation software and
further semantic resolution components.
? Planning and conducting exploratory studies and evaluations.
? Preparing manuscripts for publication in international journals
and at conferences.
University of Bremen
Applicants should have expertise in computer science / artificial
intelligence with specialisations in natural language processing, and
should hold a master or diploma degree in computer science,
computational linguistics or equivalent. They should be committed to
interdisciplinary, team-based research and be fluent in spoken and
Ideally, an applicant will also have knowledge of / interest in one or
more of the following areas: semantic technologies; text mining;
automatic text analysis. Additional training and supervision for a
doctoral or habilitation thesis will be provided on the job.
The position is available as soon as possible until
the end of June 2021.