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Research Assistant in the Department of Linguistics and Translation (Appointment for 8 months) [Ref. C/R/406/09]

Project

A Text Difficulty Analysis Tool for Developing Extra-Curricular Reading Materials

Duties

The appointee will apply language technology and natural language processing (NLP) techniques to develop a user-friendly text editing interface for computer-assisted text simplification, which offers automatic suggestions for using simpler vocabulary and sentence structure on any input text. Major duties include to:

  1. Apply machine learning methods on large text corpora to analyze vocabulary usage and sentence structure; and
  2. Implement the text editing interface and evaluate its performance.


Requirements

A Bachelor’s or postgraduate degree in Computer Science/Computational Linguistics/Data Science or related disciplines, with no more than a total of 6 years of service at the University. Proficiency in Python is required. Experience in NLP and machine learning would be an advantage.

(Those who have responded to the previous advertisement need not re-apply.)

Salary and Conditions of Service

Salary offered will be highly competitive, commensurate with qualifications and experience.  Fringe benefits include leave, medical and dental consultations at the campus clinic.

Information and Application

Further information on the post and the University is available at http://www.cityu.edu.hk, or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong [Email : hrojob@cityu.edu.hk/Fax : 2788 1154 or 3442 0311]. 

To apply, please submit an online application. The closing date is 31 July 2023.  Applications will receive full consideration and only shortlisted applicants will be contacted.  The University’s privacy policy is available on the homepage.

City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes.

Worldwide recognition ranking #70 (QS 2024), and #4 among top 50 universities under age 50 (QS 2021); #1 in the World’s Most International Universities (THE 2024); #1 in Automation & Control/Electrical & Electronic Engineering/Materials Science & Engineering/Metallurgical Engineering/Nanoscience & Nanotechnology and #2 in Telecommunication Engineering in Hong Kong (GRAS 2023); and #39 Business School in the World and #5 in Asia (UT Dallas 2019 to 2023)

 

 

 

 

 

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