The candidate will team up a world-class research effort developing
cutting-edge solutions able to advance the state of the art in end-to-end
Speech Translation. Possible research topics include the design of methods
to improve the audio signal representation in the encoder, the use of
weakly supervised learning techniques, the efficient adaptation of existing
models to new speakers or domains.

The student will have access to a state of the art cluster with 1520 CPUs
and 36 last generation GPUs, and to large cloud computing facilities with
both CPUs and GPUs. Machine translation is a very active field, both in
academia and industry, and offers great opportunities for internships and
job placements.

The doctoral fellowship will be formally pursued at the ICT International
Doctoral School of the University of Trento. The program starts in November
2019, has a length of three years and includes attendance of courses during
the first two years, while the third is fully dedicated to research work.
An internship period is also foreseen.





Educational level:

Master Degree

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