Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
The Institute of Data Science at the National University of Singapore (NUS) is looking for multiple postdoctoral Research Fellows to work on machine learning (ML) and natural language processing (NLP) research for indigenous/vernacular languages. The project is a newly-funded international collaboration between Singapore and New Zealand on data science, focusing on multi-lingual Q&A for revitalizing and facilitating indigenous/vernacular languages in Southeast Asia and New Zealand through AI and data science. The NUS team, led by Professors See-Kiong Ng and Stephane Bressan, will be working closely with the NZ team led by Professors Ruili Wang (Massey University), Michael Witbrock (Auckland University) and Te Taka Keegan (University of Waikato) in this 3-year project. The Research Fellows will be responsible for undertaking novel research in ML and NLP, focusing on multi-lingual Q&A for low-resource languages. The research should lead to publications in top-tier international conferences and journals, new research resources such as well-annotated NLP datasets, and implementations in real-world applications. The initial appointment will be for one year, with the possibility to extend based on performance. Selected candidates will be offered with attractive/competitive salaries and benefits.
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Requirements
The National University of Singapore is a national research university in Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest autonomous university in the country.
Kent Ridge Drive, Singapore
2-4 year
Singapore
0-2 year
Kent Ridge Road, Singapore
2-4 year