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Today's Topics:
1. Fwd: H2020-funded Post-doc in Neural Machine Translation,
Tartu, Estonia (Mark Fishel)
----------------------------------------------------------------------
Message: 1
Date: Tue, 27 Nov 2018 13:43:16 +0200
From: Mark Fishel <fishel@ut.ee>
Subject: [Moses-support] Fwd: H2020-funded Post-doc in Neural Machine
Translation, Tartu, Estonia
To: mt-list@eamt.org, "moses-support@mit.edu" <moses-support@mit.edu>,
nodali@helsinki.fi
Message-ID:
<CABTm23MK9b=XZvhiY9uBp+kzfFLMN0r7GoLo9S7ZLL2TKscVkQ@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Hi all,
We are looking for a post-doc in neural machine translation as part of the
Horizon2020 ICT RIA project ?Bergamot: Browser-based Multilingual
Translation?. If you have recently defended a PhD thesis (or are close to
defending) and have experience with deep learning methods in machine
translation and other sequence-to-sequence NLP, then this is your chance to
work in close collaboration with several internationally renowned research
groups and grow as an independent researcher.
The aim of the Bergamot project is to allow NMT engines to run offline in a
web browser, while dynamically adapting to the user's requirements, content
and the surrounding context, as well as yielding controllable output
quality. As part of the position you will work on faster and lighter
multi-domain and multilingual NMT approaches that can adapt to various
kinds of context info.
*Partners:*
- University of Edinburgh, UK (coordinator)
- University of Sheffield, UK
- Charles University in Prague, Czech Republic
- University of Tartu, Estonia
- Mozilla, Denmark
*Project duration:* 3 years (till December 2021)
*Duties as part of this position:* conducting research with top-level
publications and practically usable results as outcome, collaboration with
colleagues and partners, supervision of PhD students in the project,
participation in our evil empire, help with planning world domination.
*Requirements:* PhD in computer science / computational linguistics / alike
or equivalent work experience, solid research track, experience with deep
learning methods in MT and NLP in general, strong knowledge of Python and
deep learning frameworks (AllenNLP, PyTorch or others).
*Starting date:* early 2019
*To apply: *send me (fishel@ut.ee) your CV indicating your publication
record, previous work and research experience, software repositories (if
any) and other relevant info
*Application deadline:* December 14th, 2018
Best,
Mark
Head of TartuNLP <http://nlp.cs.ut.ee/>
UniTartuCS <http://www.cs.ut.ee/>
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