--

Apologies for cross-posting.

--

Have you recently completed or expect very soon an MSc or equivalent degree
in computer science, artificial intelligence, computational linguistics,
engineering, or a closely related area? Are you interested in carrying out
research on Speech Translation during the next 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 <https://mt.fbk.eu/> (MT) group at Fondazione Bruno
Kessler (Trento, Italy) in conjunction with the ICT International Doctorate
School of the University of Trento <https://ict.unitn.it> is pleased to
announce the availability of the following fully-funded Ph.D. position in
Speech Translation.



*TITLE*: Flexibility and Robustness in 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 and diverse working
conditions. On one side, the industry calls for key features like real-time
processing, domain adaptability, extended language coverage, and the
capability to adhere to application-specific constraints (e.g. length or
lip-synch constraints in the subtitling and dubbing scenarios). On the
other side, society calls for new efforts towards inclusiveness with
respect to specific categories and groups (e.g. gender-sensitivity,
customization to the needs of impaired users). Both dimensions (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 PhD is to advance the state of
the art in speech translation to make ST flexible and robust to these and
other factors.


*CONTACT*:  ne...@fbk.eu,  tur...@fbk.eu


*COMPLETE DETAILS AVAILABLE AT*:
https://iecs.unitn.it/education/admission/call-for-application
<http://ict.unitn.it/application/ict_doctoral_school>

*IMPORTANT DATES:*
The deadline for application is: *April 15**, 2021, hrs. 04.00 PM (+2 GMT)*

Potential candidates are strongly invited to contact us in advance for
preliminary interviews. Precedence for interviews will be given to
short-listed candidates that will send us a complete CV via email (
ne...@fbk.eu, tur...@fbk.eu) by April 5, 2021.

*Candidate profile*
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 a strong interest in Machine and Speech Translation
   - Have a strong background in deep learning and machine learning, in
   general
   - Have excellent programming skills in Python and experience in PyTorch
   - Enjoy working with real-world problems and large data sets
   - Good knowledge of written and spoken English
   - Enjoy working in a closely collaborating team

*Working Environment*
The doctoral student will be employed at the MT group at Fondazione Bruno
Kessler, Trento, Italy. The group (about 10 people including staff and
students) has a long tradition in research on machine and speech
translation and is currently involved in several projects. Former students
are nowadays employed in leading IT companies in the world.

*Benefits*
Fondazione Bruno Kessler offers an attractive benefits package, including a
flexible work week, full reimbursement for conferences and summer schools,
a competitive salary, an excellent team of supervisors and mentors, help
for housing, full health insurance, the possibility of Italian courses,
sporting facilities.

*Further Information*
For further information about the position, please contact Matteo Negri (
ne...@fbk.eu) and Marco Turchi (tur...@fbk.eu).

Best Regards,
Marco Turchi
_______________________________________________
Mt-list site list
Mt-list@eamt.org
http://lists.eamt.org/mailman/listinfo/mt-list

Reply via email to