FELLOWSHIP POSITION AT THE WORLD INTELLECTUAL PROPERTY ORGANIZATION

We are looking for a research and development fellow who could work on
improving our WIPO Translate tool focusing on Neural Machine Translation,
and is also skilled in Machine Learning and Natural Language Processing in
general. We concentrate  on applied research: applying the latest research
development into production.

Please note closing date for applications is 8th of January 2020, you can
see the link below for all details:
https://www.linkedin.com/jobs/cap/view/1653509333/

Please submit applications and any questions directly via email to
[email protected]

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The World Intellectual Property Organization (WIPO) is a specialized agency
of the United Nations. It is dedicated to developing a balanced and
accessible international Intellectual Property (IP) system. As part of its
mandate, WIPO translates Patent applications and disseminates information
about published patent applications using the PATENTSCOPE search engine:
https://patentscope.wipo.int/. To make this information available
worldwide, WIPO is looking for techniques to help the translation of
patents in various languages. Our “Wipo Translate” tool is publically
available at: https://patentscope.wipo.int/translate. WIPO Translate is
also used in other contexts, e.g. translate conference meetings.

In WIPO Translate, we give preference to machine learning approaches; we
try to create translation models learning from the data. The final goal is
always to provide the best MT in production in term of quality (quality
should be competitive compared to commercial tools), efficiency (we target
quick translations, less than 2 seconds for one sentence) and scalability
(we train our translation models on world class data). Various related
publications are listed at the end of document:
http://patentscope.wipo.int/translate/wtapta-user-manual-en.pdf

We are looking for a skilled computer scientist to assist our work in
data-driven Machine Translation at WIPO, in order to improve our software
“WIPO Translate”. WIPO Translate is based on open source tools, relying
mainly on NMT tool Marian.
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