Research Associate ( Computer Vision and Pattern Recognition)

The Rapid-Rich Object Search (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU).  It aims to create a platform for fast mobile searches on object databases.  The three key thrusts of the ROSE Lab are:  (i) large-scale object database collection and analytics, (ii) scalable mobile object search with contextual mobility, and (iii) media cloud platform.  Resources at the ROSE Lab consist of NTU & PKU Faculty, Researchers, PhD Students, and Visiting Scholars & Students from other institutions from around the world. 

The successful applicant will be responsible for the following areas:

  • Research and Implementation in Computer Vision and Pattern Recognition related work
  • Research and implementation in Visual Object Search
  • Asist in Drafting of proposals for research grants in the above areas.



  • Masters degree in Computer Science or Engineering.
  • Must have research experience in Computer Vision, Pattern Recognition, and Image/Signal Processing
  • Experience in Data Hiding and Soft Biometrics would be an advantage. 
  • Experienced in implementing applications for image recognition, with good knowledge of Image Processing, Computer Graphics, and Mobile Application Development, including knowledge of Matlab, OpenCV, CUDA, and Android.
  • Excellent background in software engineering with strong programming skills (C/C++, Python, PHP).
  • Familiar with Windows & Linux (eg. Ubuntu) operating systems.
  • Good interpersonal skills, with the ability to work with people from varied backgrounds. 


The successful applicant will typically be on a 1 year contract basis, with the option to renew based on the candidate’s performance. 

Learn more about ROSE Lab at


Application Procedure

Interested applicants please attach your full CV, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to:

E-mail Address for E-mailed Applications:

Electronic submission of application is highly encouraged.

Only shortlisted candidates will be notified for interview.

Application closes when the positions are filled.

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