Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info

Support Announcement:

Level: PhD
Duty: Research,Project Work
Linguistic Field: Computational Linguistics Machine Translation
Specific Language: English
Application Deadline: 31-Aug-2013
Supporting Institution: University of Zurich
Institute of Computational Linguistics
LL Issue: 24.3086
Posted: 30-Jul-2013
Support Description: The Institute of Computational Linguistics at the University of Zurich is looking for a PhD student to work in the project 'MODERN: Modeling Discourse Entities and Relations for Coherent Machine Translation'. MODERN is a Sinergia project funded by the Swiss National Science Foundation and coordinated by Idiap in Martigny (Switzerland). The project aims at advancing the state of art in inter-sentential machine translation. Funding is available for a period of three years.

- Master or Diploma in computational linguistics or related field
- Experience in developing statistical machine translation systems
- Strong programming skills
- Languages: good English and German skills (other languages are a plus)

- Collecting and annotating corpora for discourse-aware MT
- Building ontologies as semantic models for MT
- Implementing and evaluating caching models for rule based and statistical MT

- Salary according to the Swiss National Science Foundation rates (from 42,000 CHF (1st year) to 48,000 CHF (3rd year))
- Support for conference and summer school attendance
- Small and enthusiastic team
- Collaboration with Idiap in Martigny
- High standard of living in one of the most attractive European cities: Zurich (with a large lake and the Alps nearby)

Proposed starting date:
As soon as possible

Applications (including a CV and academic record) should be sent to:
Prof. Dr. Martin Volk (volk Linguist List

Application Deadline: 31-August-2013
Application Mailing Address: Prof. Martin Volk University of Zurich, Institute of Computational Linguistics Binzm├╝hlestrasse 32 Zurich 8050 Switzerland
Application Web Address:
Contact Information: Prof. Martin Volk