Postdoc in Statistical Machine Translation - University of Amsterdam

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Ali Reza Ebadat

Jul 30, 2014, 3:46:15 AM7/30/14

Prospective candidates should

  * Hold or be about to obtain a PhD degree in statistical natural language processing or a related research area with experience in statistical learning and/or machine translation.
  * Have aproven track record of excellence in research, as witnessed by a strong publication list in relevant first-tier conference proceedings or journals.
  * Have a proven experience in and affinity with programming and empirical experimentation with text (parallel) corpora.
  * Have strong passion for research, a drive to publish and the wish to learn new skills through working with or assisting in guiding PhD and MSc students.
  * Have good communication skills in English, both oral and written.


  * Conduct research in SMT on, e.g., domain adaptation, MT evaluation or statistical learning for SMT.
  * Present and publish research findings together with team members in proceedings and journals.
  * Program and test the developed algorithms in prototype systems and make these usable for other team members.
  * Assist in guiding PhD and MSc students working on topics in Computational Linguistics at large.
  * While this is primarily a research position, the successful candidate will be expected to also make a small contribution to teaching.


The appointment will be for a period of 36 months (full-time, 38 hours/week) after a 12 month probation period. The starting date is as soon as possible. The gross monthly salary will be in accordance with university regulations for academic personnel in the Netherlands, and will range from approximately EUR 2,427 to EUR 3,831 (scale 10), depending on experience. The annual salary is 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.

Further information

For further information on the open positions contact Professor dr. Khalil Sima'

Job application

Applications (single PDF file) should consists of 
   (1) a brief letter of motivation 
   (2) a detailed curriculum vitae 
   (3) a list of publications
   (4) the names and contact details of three academic referees 
   (5) a link to a website with an online version of PhD thesis and relevant publications (e.g., your professional homepage --please do not include articles or thesis in your application).

Applications must be sent electronically both to and to, mentioning the vacancy number in the subject line.Deadline for applications is 15 September 2014 but recruitment will continue until position is filled with a suitable

Refer to

Professor Dr Khalil Sima'an

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