Nanyang Technological University

Research Fellow (JOB-2017-0166792)

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Background

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) visual object search, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics.  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

The successful applicant will be responsible for the development of biometric & face recognition algorithms, APIs, and toolkits. This includes:

  1. Develop the biometric & face recognition algorithm for surveillance application and social media application by using C/C++.
  2. Biometric & Face Database collection for algorithm evaluation
  3. Building APIs (Application Programming Interfaces) to the biometric & face recognition algorithm and testing them for functionality and performance.

 

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 http://rose.ntu.edu.sg/

 

Job Requirements:

  • Graduate degree in Computer Science and/or Engineering.
  • Applicant should have technical skills in computer vision and machine learning.
  • Applicants with experience with Face Detection and Facial Feature Point Localization, as well as techniques for other biometrics such as fingerprint, finger vein, iris, palmprint, etc, are highly preferred.
  • Ideally, the applicant should have experience working with large-scale datasets.
  • Applicant should be comfortable implementing algorithms in languages such as C/C++ and Python.
  • Experience on both Windows and Linux platforms, as well as deep learning frameworks like caffe & tensorflow, or CUDA programming would be highly beneficial.
  • Good interpersonal skills, with the ability to work 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 WangQ@ntu.edu.sg

We regret that only shortlisted candidates will be notified.

Only shortlisted candidates will be notified for interview.

 

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