We are looking for a PhD student to work at the University of Zurich on a project on discourse-level SMT. The project ("MODERN: Modeling Discourse Entities and Relations for Coherent Machine Translation") is funded by the Swiss National Science Foundation and aims at advancing the state of art in inter-sentential machine translation. Funding is available for a period of three years.
If you are that student, what's in it for you: - Pretty Alps to conquer and lakes to swim near by - Small and enthusiastic team, international collaboration - Swiss National Science Foundation salary rates
(42,000 CHF 1st year -- 48,000 CHF 3rd year) - Conference and summer school attendance support
What we expect of you is: - Master's or Diploma in computational linguistics/computer science/related field - Strong technical and programming skills - Experience in working on statistical machine translation systems - Languages: good English and German skills
Potential tasks: - Developing and testing new SMT approaches, supporting inter-sentential dependencies - Implementing and evaluating caching models for statistical and maybe rule-based MT - Collecting and annotating corpora for discourse-aware MT - Building ontologies as semantic models for MT
More info on the Institute of Computational Linguistics, University of Zurich: http://www.cl.uzh.ch/
Applications (including a CV and academic record) should be sent to: Prof. Martin Volk (volk at cl.uzh.ch)
Application Deadline: 31 August 2013 Proposed starting date: as soon as possible
Best regards, Mark Fishel, Martin Volk