*The vacancy is found at:* http://staff.science.uva.nl/~simaan/VacancyPHDstudent_EW2010.html
What follows is a summary.
Vacancy: PhD Position
Topic: Statistical Machine Translation
Keywords: Statistical machine translation; syntactic models
Site: ILLC, University of Amsterdam
We are looking for a highly motivated PhD student to work on challenges in statistical machine translation between language pairs that exhibit substantial divergence in syntax and morphology. The position is financed by the NWO Exact Sciences project "Machine Translation When Exact Pattern Match Fails" lead by Dr Khalil Sima'an.
The successful candidate will have an excellent Master's degree (or equivalent qualification) in Computational Linguistics or another discipline relevant to the project (e.g, Artificial Intelligence) by the time of their appointment. Applicants should have a strong interest in pursuing empirical research of an interdisciplinary nature. Master course-level knowledge of Statistical Parsing, Machine Translation and/or Machine Learning is a requirement. Linguistic knowledge of syntax and morphology is desirable. Good communication skills in English, both oral and written, are essential.
For details regarding how to apply follow the link: http://staff.science.uva.nl/~simaan/VacancyPHDstudent_EW2010.html
For additional information on the project or the open position see the webpage contact Dr Khalil Sima'an (k.simaan at uva.nl)