2 PhD Positions in Statistical Machine Translation - University of Amsterdam
2 open PhD positions in Statistical Machine Translation at the Informatics Institute, University of Amsterdam, The Netherlands.
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It would be appreciated if you could forward this email to any interested parties.
Applications are invited for two fully-funded 4-year PhD positions in the area of Statistical Machine Translation. The positions are funded through an advanced research fellowship (Vidi scheme) by the Dutch Science Foundation (NWO) and an NWO responsive mode research grant.
Please find further details (including the application procedure) at:
The application deadline for both positions is October 21, 2013.
The starting date for both positions is beginning 2014.
The PhD research positions focus on improving state-of-the-art statistical machine translation approaches by investigating how better modeling of the generation process can be utilized to realize more fluent and accurate translations. The research will aim to substantially improve machine translation quality by achieving:
* robust translation quality across different genres, ranging from formal language use in legal documents to casual language use in social media;
* novel approaches to modeling word reordering problems;
* improved modeling of fluency criteria, in particular for languages for which only limited training data are available.
Successful candidates will be supervised by Dr. Christof Monz and based in the Informatics Institute at the University of Amsterdam. The Informatics Institute consists of more than 40 members of permanent research faculty, over 25 post-doctoral researchers, and more than 100 PhD students, together representing more than a dozen nationalities.
Members of the institute are actively pursuing a variety of research initiatives, including machine translation, natural language processing, (cross-language) information retrieval, social network analysis, computer vision, machine learning, and multi-agent systems.
Applicants must have an MSc (or close to completion) in computer science, artificial intelligence, computational linguistics or a closely related area. In addition, applicants should
- have strong curiosity to solve problems in natural language processing;
- have a strong background in probability theory, statistics, and machine learning;
- have excellent programming skills in at least two of the following
languages: C, C++, Java, Python, or Perl;
- enjoy working with real-world problems and real-word, large data sets;
- have excellent communication skills, both oral and written;
- enjoy working in a closely collaborating team.
For specific questions please get in touch with Christof Monz