[Corpora-List] Two salaried PhD positions in corpus-based machine translation at Saarland University - Marie Curie ITN project EXPERT
Mihaela Vela
m.vela at mx.uni-saarland.de
Wed Nov 14 12:32:20 UTC 2012
Department 4.6
Applied Linguistics, Translation and Interpreting, Saarland
University, Germany
is inviting applications for*two* three-year Early Stage Researcher
pre-doctoral positions in corpus-based approaches to machine
translation. The positions are part of the new EU Framework 7 Marie
Curie Network EXPERT, concerned with the exploitation of empirical
approaches to machine translation, including statistical machine
translation and example-based machine translation.
The two projects allocated to Saarland University are:
1. Investigation of an ideal translation workflow for hybrid
translation, which is concerned with translation technology in real
world environments.
2. Use of terminologies and ontologies to improve corpus-based
approaches to translation, which is concerned with NLP technologies
for matching text translations and retrieval techniques used in
machine translation.
The work in both projects will focus on statistical and machine learning
techniques to address the problems. It will also involve aspects of
human translation studies, based on a strong interaction with some of
the partners in EXPERT. The research will be conducted in the research
environment of Saarland University, with opportunities for collaborative
work with several of the leading universities and industrial partners in
EXPERT, and with the expectation of a 6 month secondments to 2-3
partners in this project based on their topic of research.
Applicants should hold a good honours degree in a relevant field of
study (e.g. computational linguistics, computer science) and have
experience in natural language processing, machine translation or
related area. They should also have a solid background in statistics and
good programming skills (C/C++, Java, Python/Perl, etc.). See the job
specification for more details on the expected profile:
http://134.96.85.107/fileadmin/user_upload/abt/sdv/dev/Job_EXPERT-uds1_02.pdf
and
http://134.96.85.107/fileadmin/user_upload/abt/sdv/dev/Job_EXPERT-uds2_01.pdf.
The *application process* consists of two compulsory stages:
*Stage 1*: Go to www.expert-itn.eu <http://www.expert-itn.eu/>and enter
the basic details requested. You will receive a reference number and
confirmation.
*Stage 2*: Email your application to d.schreyer at mx.uni-saarland.de.
<javascript:linkTo_UnCryptMailto('nbjmup+iuuq+00245/:7/96/2180uzqp40nbjmup+uzqp40nbjmup+uzqp40nbjmup+e/tdisfzfsAny/voj.tbbsmboe/ef');>Please
attach a copy of your confirmation from www.expert-itn.eu
<http://www.expert-itn.eu/>. <http://134.96.85.107/http:/>
Only applicants completing both of the above stages will be considered.
*Eligibility criteria*: Early Stage Researchers must be, at the time of
recruitment, in the first four years of their research careers, measured
from the date when they obtained the qualification which would entitle
them to embark on a doctorate. As per Marie Curie Terms and Conditions,
researchers must not have resided in the country of application for more
than 12 months in the 3 years immediately prior to the appointment. More
information on the Marie Curie scheme regarding eligibility criteria can
be found in Section III.3 of this
documentftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf.
__
Female candidates meeting the requirements for these posts are
particularly encouraged to apply.
*Salary for this grade*: The successful individual will be employed as a
salaried researcher at Saarland University, while studying his/her PhD.
Salary rates and additional mobility and training allowances are as per
the Marie Curie rates (see Annex 3 of this document
http://ec.europa.eu/research/participants/portal/download?docId=31562,
page 69).__
The post is *full-time* and *fixed-term* for three years starting on the
1 March 2013 or soon after.
*Closing date*: 31.12.2012
For informal enquiries contact Prof. Dr. Elke Teich on
e.teich at mx.uni-saarland.de
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