| Position | Research Associate in Statistical Machine Translation | 
| Posted | 2025 October 26 | 
| Expired | 2025 November 25 | 
| Company | NLP PEOPLE | 
| Location | Western Australia | AU | 
| Job Type | Full Time | 
Latest job information from NLP PEOPLE for the position of Research Associate in Statistical Machine Translation. If the Research Associate in Statistical Machine Translation vacancy in Western Australia matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
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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.
Cambridge SMT researchers have developed the HiFST/HiPDT translation systems, leading to the 2012 EAMT Best Paper and EAMT 2010 Best Thesis awards. The team participates in international MT evaluations, such as the NIST and WMT shared tasks, with entries consistently ranked among the top submitted systems. Cambridge SMT researchers also have strong industrial connections, with PhD students and RAs going on to take positions at Google, IBM, SDL, Facebook, Nuance, and other top research labs in the UK and USA.
The SMT research team is part of the Cambridge Speech and Language Technologies Group which also carries out research in speech recognition, speech synthesis, and statistical dialogue systems. The SLT Group also has strong collaborative ties to the Natural Language Processing group at the Cambridge Computer Laboratory and to the Cambridge Computational and Biological Learning Group.
University of Cambridge
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:
Duration: 12 months, renewable for another 12 months, starting Summer or Fall 2015.
Ph.D.
We are an Equal Opportunities Employer.
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