A Research Associate position is available in the ROSE Lab, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. The project involves the use of deep learning for human re-identification across a large-scale network of surveillance cameras for security and pandemic management purposes. It involves pedestrian detection, human re-identification, and tracking under realistic conditions (different viewing angles, various weather and illumination conditions) in near real-time.

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual object search, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities. Learn more about ROSE Lab at http://rose.ntu.edu.sg/

Job Description:

The Research Associate will conduct research on Computer Vision, Image Processing, and Multimedia Forensics for security and surveillance applications. The roles of this position include:

• Research into Visual Search and Video Analytics related work, including object detection, person re-identification (reID) & tracking, and search & retrieval
• Creation of large-scale datasets for research and algorithm evaluation
• Be part of a research team in the execution of funded research projects
• Assist in drafting of proposals for research grants in the above areas

Job Requirements:

• Masters degree in Signal Processing, Engineering, Computer Science, or related field
• Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets
• Experience with object detection & segmentation, person re-identification, and domain adaptation & generalisation is essential
• Experience with scripting with game engines (eg. Grand Theft Auto, Unity) and the creation of synthetic datasets would be highly advantageous
• Proficiency in software such as PyTorch, TensorFlow, OpenCV, and programming languages such as C/C++ and Python, as well as Linux (eg. Ubuntu) is essential
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage
• Good inter-personal skills, with the ability to work with people from varied backgrounds
• Proficient in English

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU