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We are looking for researchers and students who are interested in database, pattern recognition, and cloud computing, to join us in the expedition towards Rapid & Rich Object Search. In particular, we are currently looking for:

 
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Research Fellow (Computer Vision and Pattern Recognition)

The successful applicant will be responsible for the following areas:

(i) Research into Computer Vision and Pattern Recognition

(ii) Lead a Research Team in Visual Search for Bags (eg. backpacks, handbags) and Fashion Products (accessories, jewellery, watches)

(iii) Drafting of proposals for research grants in the above areas

 

 

REQUIREMENTS
 
  • PhD degree in Computer Science or Engineering.
  • Must have research experience in Computer Vision, Pattern Recognition, and Image/Signal Processing.
  • Experience in Soft Biometrics would be an advantage.  
  • Experience with grant proposals would also be an advantage.
  • Good interpersonal skills, with the ability to work with people from varied backgrounds.

 

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Research Associate (Computer Vision and Pattern Recognition)

The successful applicant will be responsible for the following areas:

(i) Research and Implementation in Computer Vision and Pattern Recognition related work

(ii) Research and implementation in Visual Object Search 

(iii) Asist in Drafting of proposals for research grants in the above areas.

 

REQUIREMENTS
 
  • 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. 


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Project Officer / Research Associate / Research Fellow (Face Recognition, Machine Learning)

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

(i) Develop the face recognition algorithm for surveillance application and social media application by using C/C++.

(ii) Face Database collection for algorithm evaluation, such as images collected from internet

(iii) Building APIs (Application Programming Interfaces) to the face recognition algorithm and testing them for functionality and performance.

 
 
REQUIREMENTS
 
  • Bachelor, Master or PhD degree in Computer Science and/or Engineering, or related areas
  • Expert practical knowledge of state-of-the-art research in face recognition.
  • Applicant should have technical skills in computer vision and machine learning.
  • Applicants with experience with Face Detection and Facial Feature Point Localization 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++. 
  • Experience on both Windows and Linux platforms, as well as CUDA programming would be highly beneficial.
  • Good interpersonal skills, with the ability to work from varied backgrounds.  

 

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Project Officer / Research Associate (API Development for Image Search)
 
The successful applicant will be responsible for the development of image search engines, APIs, and applications using object search technology developed at the ROSE Lab.  This includes:
(i) Porting code from Matlab to C/C++.

(ii) Building deployable image search engines, including parallelising and optimising the algorithms developed by ROSE Lab researchers.

(iii) Building APIs (Application Programming Interfaces) to these image search engines and testing them for functionality and performance.

(iv) Developing Web and Mobile applications that will demonstrate the capabilities of these APIs and image search engines.

(v) Working with industry partners of the ROSE Lab to test and adapt these APIs to their needs.
 
 
REQUIREMENTS
 
  • Bachelor or Master degree in Computer Science and/or Engineering.
  • Excellent background in software engineering with Advanced Programming Skills (C/C++, Python, PHP) and knowledge of Software Tools (Eclipse, Netbeans).
  • Experienced in implementing mobile applications for image recognition, with good knowledge of Image Processing, Pattern Recognition, Computer Vision, and Mobile Application Development, including knowledge of Matlab, OpenCV, OpenGL and Android/IOS.
  • Experience with Machine Learning (eg. Caffe, cudaConvNet) and GPU Computing (CUDA programming) is preferred.
  • Familiar with Windows & Linux (eg. Ubuntu) operating systems.
  • Industry experience would be advantageous.
  • Good interpersonal skills, with the ability to work with people from varied backgrounds.  ​
 
 

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Application Procedure

Interested applicants should attach the following to WangQ@ntu.edu.sg.

  • Full CV, with the names and contacts (including email addresses) of 3 character referees
  • Salary Expectation
  • The earliest availability


We regret that only shortlisted candidates will be notified.

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

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