Overview

The Natural Language Processing Group at the National University of
Singapore invites applications for multiple Research Assistant and
Research Fellow positions in the Department of Computer Science, School
of Computing (SoC), in the research areas of conversational question
answering, grammatical error correction, medical text mining, and
natural language processing for low-resource languages. The initial
appointment is for a period of one year, with possible extension subject
to research funding availability. The candidate will join at the rank of
Research Assistant or Research Fellow, depending on qualifications and
experience.

Company:

National University of Singapore

Qualifications:

For the research fellow position, the candidate should possess a PhD
degree in computer science or a related discipline, and a strong
publication record in natural language processing, deep learning, or
related areas. Strong programming skills and good command of English
(both spoken and written) are also required.

Language requirements:

good command of English (both spoken and written)

Educational level:

Master Degree

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About National University of Singapore

A leading global university centred in Asia, the National University of Singapore (NUS) is Singapore's flagship university which offers a global approach to education and research with a focus on Asian perspectives and expertise.

Its 16 faculties and schools located in three campus locations – Kent Ridge, Bukit Timah and Outram - provide a broad-based curriculum underscored by multidisciplinary courses and cross-faculty enrichment. The University also offers programmes such as student exchange, entrepreneurial internships at seven NUS Overseas Colleges, and over 70 double degree, joint degree and concurrent degree programmes with some of the world’s top universities. In 2012, NUS is ranked 23rd in the World Reputation Rankings published by the Times Higher Education.

Known as a research-intensive university, NUS has three Research Centres of Excellence (RCE) and 22 university-level research institutes and centres.