Postdoc in Statistical Machine Translation Adaptation
for 38 hours per week
vacancy number PD2/DatAptor
gross monthly salary EUR 2,379 to EUR 3,755 (scale 10)
(gross salary is increased by 8% holiday allowance and 8.3 % bonus on yearly basis)
Prospective candidates should
1. Hold or be about to obtain a PhD degree in statistical natural
language processing with experience in both statistical
learning/adaptation and machine translation.
1. Have aproven track record of excellence in research, as witnessed by
publications in relevant first-tier conference proceedings or journals.
2. Have a proven experience in and affinity with programming and
empirical experimentation with text (parallel) corpora.
3. Have good communication skills in English, both oral and written.
1. Conduct research and development in SMT on large multi-domain
parallel corpora to realize the DatAptor project plan.
1. Present and publish research findings together with team members in
proceedings and journals following STW's publication guidelines.
2. Program and test the developed algorithms in prototype systems and
make these usable for other team members.
3. While this is primarily a research position, the successful
candidate will be expected to also make a small contribution to
The appointment will be for a period of 36 months (full-time, 38 hours/week). The starting date is somewhat negotiable but should be before January 2014. The gross monthly salary will be in accordance with university regulations for academic personnel in the Netherlands, and will range from approximately EUR 2,379 to EUR 3,755 (scale 10), depending on experience. The annual salary will be increased by 8% holiday allowance and 8.3 % end-of-year bonus (effectively 13th and 14th months). The Collective Labor Agreement for Dutch universities is applicable.
For further information on the open position, please feel free to contact dr. Khalil Sima'an (following the linkk . simaan at uva nl <mailto:k.simaan at uva.nl>).
Applications should include a brief letter of motivation, a detailed curriculum vitae, a list of publications, and the names and contact details of three academic referees. If possible, please also include a link to a website with an online version of your PhD thesis and relevant publications (e.g., your professional homepage). Applications should be sent by email to k.simaan at uva.nl with subject line "Vacancy number: PD2/DatAptor". Please send asingle PDF file. The application deadline is 20 August 2013 or until position is filled.
Dr Khalil Sima'an (link:<http://staff.science.uva.nl/%7Esimaan>http://staff.science.uva.nl/~simaan <http://staff.science.uva.nl/%7Esimaan>)
Full detail: Postdoc SMT Adaptation at SLPL Lab. ILLC-UvA <http://staff.science.uva.nl/%7Esimaan/Advertisements/Postdoc%20nr%201%20%20STW%20Sima%27an.html>
-- -------------- Dr Khalil Sima'an Associate Professor Vici Laureate Statistical Language Processing and Learning Lab Institute for Logic, Language and Computation (ILLC) University of Amsterdam Tel#: +31-20-525 6573 Fax#: +31-20-525 5206 http://staff.science.uva.nl/~simaan
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