27.1338, Support: Computational Linguistics; Translation / Italy

Thu Mar 17 18:55:12 UTC 2016

LINGUIST List: Vol-27-1338. Thu Mar 17 2016. ISSN: 1069 - 4875.

Subject: 27.1338, Support: Computational Linguistics; Translation / Italy

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Date: Thu, 17 Mar 2016 14:55:05
From: Matteo Negri [negri at fbk.eu]
Subject: Computational Linguistics; Translation, PhD, Fondazione Bruno Kessler, Italy

 Institution/Organization: Fondazione Bruno Kessler 
Department: Human Language Technologies - Machine Translation 
Web Address: https://hlt-mt.fbk.eu/ 

Level: PhD 

Duties: Research

Specialty Areas: Computational Linguistics; Translation 

Description:

Two PhD Fellowships available at the HLT-MT group at Fondazione Bruno Kessler,
Trento

The Human Language Technology - Machine Translation (HLT-MT) group at FBK
(Trento, Italy) in conjunction with the ICT International Doctorate School of
the University of Trento is pleased to announce the availability of two
fully-funded PhD positions in Machine Translation starting with the A.Y.
2016-2017.

Title: Deep Learning for Human-in-the-loop Advanced Machine Translation

Description: Nowadays, human translation and machine translation are no longer
antithetical opposites. Rather, the two worlds are getting closer and started
to complement each other. On one side, the evolution of translation industry
is witnessing a clear trend towards the adoption of Machine Translation (MT)
as a primary support to professional translators. On the other side, the
variety of data that can be collected from human feedback provides to MT
research an unprecedented wealth of knowledge about the dynamics (practical
and cognitive) of the translation process. The future is a symbiotic scenario
where humans are assisted by reliable MT technology that, at the same time,
continuously evolves by learning from translators activity. This grant aim to
transform this vision into reality. 

The candidate will team up a world-class research effort developing novel MT
technology capable to integrate information obtained unobtrusively from real
professional translation workflows. Relevant topics include: i) neural machine
translation ii) deep learning from human feedback iii) language independent
continuous space representations, and much more.  

No specific knowledge of languages nor linguistics is required, while strong
programming skills are a must. Students will have access to a state of the art
cluster with 1520 CPUs and 12 last generation GPUs. Machine translation is a
very active field, both in academia and industry, and offers great
opportunities for internships and job placements.

Contact: Marcello Federico - federico at fbk.eu 

Complete Details: http://ict.unitn.it/about

Important Dates: the call is not open yet, please monitor the ICT Doctoral
School webpage (http://ict.unitn.it/)

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 a complete CV via email to
federico at fbk.eu

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.

Work Environoment: The doctoral student will be employed at the HLT-MT group
at FBK, Trento, Italy. The group (about 15 people including staff and
students) has a long tradition in research on machine translation and is
currently involved in several H2020 European projects such as QT21, Cracker
and MMT. 

Benefits: FBK offers an attractive benefits package, including a flexible work
week, full reimbursement for conferences and summer schools, competitive
salary, an excellent team of supervisors and mentors, help for housing (and
partial reimbursement), full health insurance, possibility of Italian courses,
sport facilities.

Further Information: please contact Marcello Federico - federico at fbk.eu 

Application Deadline: 01-Jul-2016 

Web Address for Applications: https://hlt-mt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2016 

Contact Information: 
	Marcello Federico 
	federico at fbk.eu  

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