Research Fellow (Computer Science/Engineering)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech Intervention, we establish a sub-project on “Human Gait Detection via Acoustic-enabled Footstep Tracking under NTU-CCDS. In line with NTU’s vision and mission to nurture leaders through research, this project aims to attract both local and international talents with prior experience in relevant fields to achieve intended research output. Key Responsibilities: • To independently undertake research in artificial intelligence and computer vision tools. • To use these tools for interpret the acoustic sensing results. • To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. • To attend, contribute, where necessary lead relevant meetings, and effectively interact with medical experts from SGH and NNI. • To provide guidance and support to any students associated with the project. • To undertake any other duties relevant to the programme of research. Job Requirements: • Preferably PhD in Computer Science/Engineering or equivalent. • Independent, highly analytical, proactive and a team player • Excellent teamwork and verbal, written communication skills • In-depth research experience in artificial intelligence and computer vision. • Demonstrated capability to conduct innovative research. • The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. • Demonstrated ability to formulate hypothesis and design effective experimental plans. • High-level expertise in the required experiment or deep learning methods. • Ability to initiate collaboration research in multidisciplinary team. • Oversee and report project progress. We regret that only shortlisted candidates will be notified.