Research Fellow (Computer Vision and Computational Photography)

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 into Computer Vision and Computational Photography
  • Research into Multimedia Information Processing and 3D Scene Understanding & Reconstruction
  • Drafting of proposals for research grants in the above areas.


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



  • PhD degree in Computer Science & Engineering.
  • Must have research experience in Computer Vision (eg. Photometry, reflectance & illumination, stereo/3D vision) and Computational Photography (eg. Super-resolution, depth camera)
  • Must also have research experience in 3D Scene Understanding & Reconstruction, and Multimedia Information Processing (eg. Video coding). 
  • Experience with grant proposals in Singapore would be an advantage.
  • Good interpersonal skills, with the ability to work with people from varied backgrounds. 
  • Min.2 years after completion of PhD studies

Learn more about ROSE Lab at

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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