Department 4.6
Applied Linguistics, Translation and Interpretingis inviting applications for a three-year Early Stage Researcher pre-doctoral position 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.
One of the two projects allocated to Saarland University is:
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.
Description
The work 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://fr46.uni-saarland.de/fileadmin/user_upload/abt/sdv/Vela/Job_EXPERT-uds2.pdf.