| More Information: | PhD position in spoken dialogue systems research
Applications are invited for a PhD fellowship in the area of statistical spoken
dialogue systems funded by the Czech Government. The student will join the
Institute of Formal and Applied Linguistics, Charles University in Prague, Czech
Republic with an anticipated start date of October 1st, 2014.
Topic description: In recent years, it has been suggested that statistical
approach to spoken dialogue system offer a framework to naturally handle
inherent uncertainty in the human speech. The two main advantages of statistical
methods are increased robustness in noisy conditions and more natural behaviour
learnt from data. However, the current methods need large corpora effectively
preventing these methods to be used for complex dialogue systems occurring in
real-life. The successful PhD candidate will investigate and implement
statistical models and methods with the aim of increasing the efficiency of the
learning process and reducing the need for large corpora. The conducted research
will cover areas of spoken language understanding, dialogue management, and
natural language processing.
Skills: The candidate should hold a master degree in a relevant area, such as
computer science, mathematics, engineering or linguistics. A strong
mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB,
and various scripting languages under Linux environment), aptitude for creative
research and autonomy are expected. Experience in machine learning, Bayesian
methods, and natural language processing is a plus.
The Institute of Formal and Applied Linguistics is a top-level research group
working in the area of computational linguistics and natural language
processing. During the fellowship, there will be good opportunities to attend
international conferences and workshops. The formal applications should be
submitted before June 1. Prospective candidates are strongly encouraged to
contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to
obtain details about the application process, the institute, and the research
opportunities.
Additional information is available at
https://ufal.mff.cuni.cz/filip-jurcicek/jobs.
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