A Research Associate (Post-Doctoral Researcher) position in Statistical Machine Translation is available at the University of Cambridge.
The Research Associate will be funded by the EPSRC (UK) project 'Improving Target Language Fluency in Statistical Machine Translation'. The project is focused on developing robust, natural language generation systems that can be incorporated directly into syntax-based SMT.
For candidates with an interest in supervision of graduate research, there will be opportunities to set and lead research projects on the new Cambridge MPhil in Machine Learning, Speech, and Language Technologies which will begin in October 2015.
Company:
University of Cambridge
Qualifications:
Candidates should have a Ph.D. in machine learning, natural language processing, speech recognition, or a related area, with interests in any of the following topics:
1. Statistical machine translation, syntactic SMT
2. Neural networks, deep learning
3. Natural language generation
4. 'Big Data' techniques for large-scale text processing and machine learning (e.g., Hadoop, Spark)
Specific requirements:
Duration: 12 months, renewable for another 12 months, starting Summer or Fall 2015.
Educational level:
Ph.D.
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