Apologies for cross-posting.

IN A NUTSHELL: less than 1 week to the application deadline for a fully-funded #PhDposition in "Application-oriented Speech Translation" at Fondazione Bruno Kessler.

-- Scholarship "A6": http://iecs.unitn.it/education/admission/reserved-topic-scholarships#A6

-- Application info: https://iecs.unitn.it/education/admission/call-for-application

-- Deadline: September 6, 2022

FULL MESSAGE:

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 towards 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.

CONTACT: negri@fbk.eu

COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application

IMPORTANT DATES:

The deadline for application is September 6, 2022, hrs. 04:00 PM (CEST)

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 (negri@fbk.eu) by September 10, 2022.

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 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

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, and sporting facilities.

Further Information

For preliminary interviews, and should you need further information about the position, please contact Matteo Negri (negri@fbk.eu).

Best Regards,

Matteo Negri