Overview

Have you recently completed or expect very soon an MSc or equivalent degree
in computer science, artificial intelligence, computational linguistics,
engineering, or a related area? Are you interested in carrying out research
on Speech Translation during the next few years? Are you excited to spend a
part of your life in a pleasant city in the heart of the Italian Alps?

WE ARE LOOKING FOR YOU!!!

The Machine Translation (MT) group at Fondazione Bruno
Kessler (Trento, Italy) in conjunction with the ICT International Doctorate
School of the University of Trento is pleased to
announce the availability of the following fully-funded Ph.D. position in
Speech Translation.

TITLE: Application-oriented Speech Translation

DESCRIPTION:

The need to translate audio input from one language into text in a target
language has dramatically increased in the last few years with the growth
of audiovisual content freely available on the Web. Current speech
translation (ST) systems are now required to be flexible and robust enough
to operate in different application scenarios. On one side, the industry
calls for key features like real-time processing, domain adaptability,
extended language coverage, and the capability to meet application-specific
constraints. On the other side, society calls for new efforts toward
inclusiveness with respect to specific categories and groups (e.g. gender
sensitivity, customization to the needs of impaired users). Both industry
and society face the orthogonal challenges posed by the variability of
audio conditions (e.g. background noise, strong speakers? accent,
overlapping speakers). The objective of this Ph.D. is to make ST flexible
and robust to these and other factors.

Company:

FBK

Qualifications:

The ideal candidate must have recently completed or expect very soon an MSc
or equivalent degree in computer science, artificial intelligence,
computational linguistics, engineering, or a closely related area. In
addition, the applicant should:

Have interest in Machine and Speech Translation

Have experience in deep learning and machine learning, in general

Have good programming skills in Python and experience in PyTorch

Enjoy working with real-world problems and large data sets

Have good knowledge of written and spoken English

Enjoy working in a closely collaborating team

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