[Elsnet-list] PhD/Post Doc in the area of speech recognition and natural language understanding at Saarland University

Dietrich Klakow dietrich.klakow at lsv.uni-saarland.de
Thu Dec 20 07:57:44 CET 2012

                 PhD/Post Doc in the area
  speech recognition and natural language understanding
                 at Saarland University

Present speech recognition systems are unaware of the environment
in which they run. Contextual information from the environment
can be integrated in the recognition process to reduce
word error rate and concept error rate. For the specific
task at hand, we will focus on controller-pilot communication
in cooperation with the German Aerospace Center (DLR), which
will provide realistic data with dynamic context. The task is to
perform research on methods for integrating the contextual
knowledge into the speech recognizer.

The successful candidate should have a degree in computer
science, electrical engineering, computational linguistics
or a closely related area. Excellent programming skills are
important. A good math background is a plus. Very good oral
and written communication skills in English will be valued.

Saarland University is one of the leading European research
sites in computational linguistics and offers an active,
stimulating research environment. Close working relationships
are maintained between the Departments of Computational
Linguistics and Computer Science. Both are part of the Cluster
of Excellence, which also includes the Max Planck Institutes
for Informatics (MPI-INF) and Software Systems (MPI-SWS) and
the German Research Center for Artificial Intelligence (DFKI).

The position is suitable for a PhD student or a Post Doctoral
researcher. The salary will be in the range of 33,000 Euros
to 51,000 Euros per year depending on the qualification and
professional experience  of the successful candidate. Earliest
possible starting date is February 1st. The position is for
two years with the plan to extend it.

Each application should include:

* Curriculum Vitae including a list of publications
   (if applicable)
* Transcript of records
* Short statement of interest (not more than half a
* Names of two references
* Any other supporting information or documents

Applications (documents in PDF format in a single file)
should be sent no later than , Friday January 18th to:
Diana.Schreyer at LSV.Uni-Saarland.De

Further inquiries regarding the project should be
directed to:
Dietrich.Klakow at LSV.Uni-Saarland.De

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