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

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

Posted by Victoria Nicholl on Mon, 07/01/2013 - 14:31

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PhD/Post Doc in the area
speech recognition and natural language understanding
at Saarland University
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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
page)
* 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@LSV.Uni-Saarland.De

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