[Apologies for multiple postings]
*Postdoctoral Researcher in Machine Translation, Language Technologies
and Machine Learning*
The University of Saarland (Germany) is looking for a
·Post-Doctoral Researcher in Data-Driven Machine Translation.
Key responsibilities: research and development of novel
technologies concentrating on
·machine translation for cross language information retrieval (CLIR)
·statistical and neural models of machine translation
·integration of data and machine learning driven approaches with
existing knowledge resources
·research publication in top-tier conferences and journals
·identification of funding opportunities and engagement in proposal writing
·contribution to teaching and supervision
·administrative work associated with the programme of research
Requirements:
·PhD in computer science, natural language processing or computational
linguistics
·Strong background in data-driven and statistical machine translation
·Strong background in machine learning, neural nets and deep learning
·Excellent problem solving skills
·Independent and creative thinking
·Excellent programming skills
·Excellent communication skills
·Excellent command of written and oral English (German, French, Spanish
are an additional advantage)
The post will be for 3 years. Salary range TV-L 13: 3.438-4.962 euro
p.m. (gross) depending on experience.
The research is funded by the Leibnitz Foundation, grant no. SAW-2016
-ZPID-2. The successful applicant will report to Prof. Josef van
Genabith (Chair of Translation-Oriented Language Technologies,
University of Saarland; Scientific Director for Multilingual
Technologies and joined Head of the Language Technology Lab, DFKI) and
Prof. Stephan Busemann (Deputy Director Language Technology Lab, DFKI).
*Working environment: *
The post will be located at the University of the Saarland. Successful
applicants will join the Translation-Oriented Language Technology Lab
(TLT, University of Saarland) and become an associated member of the
Multilingual Technology Lab (MLT) at DFKI (the German Research Center
for Artificial Intelligence).
Both labs are led by Prof. Josef van Genabith and offer the opportunity
of working in international teams that combine excellent research with
innovative applications. The TLT Lab at the University of Saarland
partners in EU projects (EXPERT Marie Curie ITN http://expert-itn.eu/ )
and large-scale basic research activities (IDEAL Information Density and
Linguistic Encoding, SFB 1102, http://www.sfb1102.uni-saarland.de/ )
funded by the German Science Foundation DFG. DFKI is one of the leading
AI-research institutes worldwide, with several sites in Germany. The MLT
lab partners in European and industry funded research projects in all
areas of Language Technologies (including multilingual text analytics
and search, the multi-lingual web, machine translation, human-robot
communication, speech).MLT leads the H2020 European Research project
QT21 (http://www.qt21.eu/ ) and the CEF funded ELRC project
(http://elrc.tilde.com/ ). The MLT Lab belongs to the DFKI site on the
campus of the Saarland University. Saarland University has exceptionally
strong Computer Science and Computational Linguistics departments, two
Max Plank Institutes in Computer Science, an Excellence Cluster in
Multimodal Computing and Interaction (http://www. and several
International Doctoral and Master Programmes in Computer Science and
Computational Linguistics.
*Geographical environment: *
Saarbrücken (http://www.saarbruecken.de/en ) is the capital of Saarland
with approximately 190,000 inhabitants, a pleasant size. It is located
right in the heart of Europe and is the cultural center of the border
region of Germany, France and Luxembourg. Some of the closest larger
cities are Trier, Nancy, Kaiserslautern, Mannheim and Karlsruhe and
Frankfurt. Paris can be reached by train within just under 2 hours.
Living costs in and around Saarbrücken are moderate in comparison with
other large cities in Germany and elsewhere in Europe.
*Starting date and duration: *
Preferred starting date is July 1^st , 2016. The position is available
for a fixed term until June 30^th , 2019, with opportunities for
extension depending on performance and future funding.
*Application: *
Applications should include a short cover letter, a CV, list of
publications, a brief summary of research interests, and contact
information for three references.
Please send your electronic application (preferably in PDF format) and
inquiries to Peggy Daut:
[email protected] <mailto:[email protected]>
referring to the number of the job opening (see above). Deadline for
applications is February 31^st , 2016. The position remains open until
filled. For informal inquiries please contact
[email protected]
<mailto:[email protected]> and/or
[email protected] <mailto:[email protected]>
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