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We are looking for strong researchers and students who are interested in computer vision, pattern recognition, and deep learning, to join us in our research on Visual Search and Video Analytics.


Research projects include:

• Action Recognition • Person Re-Identification (cross camera)
• Biometrics • Person & Object Tracking
• Face Analytics • Reflection Removal
• Face Spoofing Detection • Scene Text Recognition
• Image/Video Captioning • Video Analytics
• Image Forensics • Visual Anomaly Detection
• Object Detection & Classification • Visual Search
• Object Segmentation  



In particular, we are currently looking for:

Senior Research Engineer (Research Project Management)

 

The successful applicant will report to the Deputy Director of the ROSE Lab and will be responsible for the following:

  1. Successful initiation, planning, execution, monitoring, control, and closure of research projects
  2. Lead a team of research staff, graduate students, and student assistants in the execution of funded research projects 
  3. Managing stakeholder relationships, in with particular industry partners
  4. Assist in drafting of proposals for research grants in the above areas.
 
REQUIREMENTS
  • Bachelors or Masters degree in Computer Science and/or Engineering, or related areas, with at least 5 years of relevant working experience
  • Applicant should be familiar with engineering software development and machine learning
  • Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets, in particular in a university or research lab, would be a significant 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 Fellow / Research Associate (Computer Vision and Deep Learning)
 
The successful applicant will be responsible for the following:

(i) Research and Implementation in Visual Search and Video Analytics related work
(ii) Design and creation of large-scale datasets for research and algorithm evaluation
(iii) Lead a research team in execution of funded research projects
(iv) Assist in Drafting of proposals for research grants in the above areas.

 
REQUIREMENTS


• PhD or Masters degree in Computer Science and/or Engineering, or related areas.
• Must have research experience in Computer Vision, Pattern Recognition, and Deep Learning.
• Applicant should have technical skills in computer vision and machine learning (eg. Matlab, OpenCV, PyTorch, Caffe, TensorFlow).
• Ideally, the applicant should have experience working with large-scale datasets.
• Excellent background in software engineering with strong programming skills (C/C++, Python).
• Familiar with Linux (eg. Ubuntu) operating systems.
• 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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Project Officer / Research Associate (API Development for Visual Analytics)
 
The successful applicant will be responsible for the development of visual analytics engines, APIs, and applications using visual analytics technology developed at the ROSE Lab. This includes:



(ii) Building deployable visual analytics engines, including parallelizing and optimizing the algorithms developed by ROSE Lab researchers.
(iii) Building APIs (Application Programming Interfaces) to these visual analytics 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 Masters degree in Computer Science and/or Engineering, or related areas.
• Excellent background in software engineering with Advanced Programming Skills (C/C++, Python, PHP) and knowledge of Software Tools (Flask, Eclipse, Netbeans, etc).
• 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. PyTorch, Caffe, TensorFlow) 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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