[Corpora-List] Two PhD Positions in Machine Translation at Fondazione Bruno Kessler

Matteo Negri negri at fbk.eu
Wed Mar 9 16:14:57 CET 2016

(Apologies for multiple postings)




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 NLP 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?


The Human Language Technology - Machine Translation (HLT-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 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. In addition, the ideal applicant should:

- Have a strong interest in Machine Translation

- Have a strong background in statistics, probability theory and machine learning

- Have excellent programming skills in at least one of the following languages: C, C++, or Java

- Enjoy working with real-world problems and large data sets

- Have a good knowledge of written and spoken English

- Enjoy working in a closely collaborating team

*JOB DESCRIPTION:* The first year of the PhD is mainly devoted to the acquisition of scientific knowledge at both basic and high level. During the second year the PhD candidate will deepen his/her scientific knowledge and will start to establish his/her thesis work, identifying the objectives and research activities to be developed within the thesis. During the third year, the PhD candidate will focus on his/her personal contribution to the state-of-the-art on the chosen research problem and/or to the development of the proposed technological innovation. The research activity of the PhD candidate will be closely related to EU projects. This will allow the PhD candidate to develop collaborations with other researchers participating in these research projects and it may also allow him/her to spend part of his research activity at partner laboratories, both in the academia and in the industry. The PhD candidates have to pass the selection of the ICT Doctorate School to be enrolled as PhD students.

*WORK ENVIRONMENT: *The doctoral student will be employed at the HLT-MT group at Fondazione Bruno Kessler, 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. Former students are nowadays employed in leader 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, 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:* For further information about the position, please contact: Marcello Federico - federico at fbk.eu -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 10534 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20160309/80a336ad/attachment.txt>

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