The Research Associate will work on a project to conduct research on Computer Vision, Image Processing, and Multimedia Forensics & Biometrics for security and forensics applications. The roles of this position include:
- Research into Multimedia Forensics & Biometrics related work, including face anti-spoofing detection, face recognition, and image quality analysis.
- 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 Computer Science and/or Engineering, Data Science & Analytics, Mathematics, or related field
- Research experience in Face Anti-Spoofing Detection, Face Recognition, Biometrics, Multimedia Forensics, and Image Processing
- First author publications in top conferences and journals in Computer Vision, Pattern Recognition, Machine Intelligence, Biometrics, and/or Image Processing is required
- Proficiency in software such as Caffe, PyTorch, TensorFlow, TensorRT, 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 to inform that only shortlisted candidates will be notified.