The Rolls-Royce@NTU (Nanyang Technological University, Singapore) Corporate lab was launched at a joint investment by NTU, Rolls-Royce and the National Research Foundation, Singapore. It is the first of its kind in the world with a university, focusing on three core research areas - Electrical Power and Control Systems, Manufacturing and Repair Technologies and Computational Engineering. The Computational Engineering programme within the lab are investigating state-of-the-art techniques in Data Analytics to process data from across the Rolls-Royce design, development, manufacturing, and in-service applications in order to develop strategic capability for introducing step-change improvements in the products and processes.
The lab has an open position for research fellow in the area of natural language processing (NLP). In collaboration with speech recognition and ontology engineering teams, the position aims at supporting ontology-based semantic search over speech transcripts. The successful candidate will develop novel methods for text mining from speech recognition results, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research. It involves applying scientific, technical and software engineering skills to conduct research on text mining in collaboration with the speech recognition and ontology engineering groups at NTU.
/Required Qualifications/
PhD or Master degree in Computer Science or a related discipline with specialization in natural language processing and/or ontology engineering. Independent research experiences are expected.
/How to apply/
Please send your resume and a cover letter to Jung-jae Kim
E-mail: jungjae.kim@ntu.edu.sg
The positions will be open until filled.
Date: 18 June 2015
[SG50]
________________________________
The lab has an open position for research fellow in the area of natural language processing (NLP). In collaboration with speech recognition and ontology engineering teams, the position aims at supporting ontology-based semantic search over speech transcripts. The successful candidate will develop novel methods for text mining from speech recognition results, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research. It involves applying scientific, technical and software engineering skills to conduct research on text mining in collaboration with the speech recognition and ontology engineering groups at NTU.
/Required Qualifications/
PhD or Master degree in Computer Science or a related discipline with specialization in natural language processing and/or ontology engineering. Independent research experiences are expected.
/How to apply/
Please send your resume and a cover letter to Jung-jae Kim
E-mail: jungjae.kim@ntu.edu.sg
The positions will be open until filled.
Date: 18 June 2015
[SG50]
________________________________
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