Research Associate (Machine Learning, Image Classification)


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. 

Position Description:

The successful applicant will be responsible for the development of large scale image classification systems using machine learning techniques.  This includes:

(i)     Building image classification systems, including parallelising and optimising the algorithms developed by other ROSE Lab researchers.

(ii) Working with industry partners of the ROSE Lab to test the classification systems.

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


•  Master degree in Computer Science & Engineering.
•  Must have at least 3 years’ experience in C/C++
•  Familiar with CUDA and OpenCV programming
•  Familiar with the Linux programming environment.
•  Must have research experience in image processing and image classification.
•  Good interpersonal skills, with the ability to work with people from varied backgrounds. 

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

We regret that only shortlisted candidates will be notified.

Application closes when the positions are filled.

Share Article