Research Fellow (Computer Science/Engineering/Electronics Engineering)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology university in Singapore is seeking researchers for a project on Human Gait Detection via Acoustic-enabled Footstep Tracking. The ideal candidate will have a PhD in relevant fields and expertise in deep learning methods. Responsibilities include conducting research, generating reports, collaborating with medical experts, and guiding students. This role aims to foster innovation in the field of intelligent acoustic sensing to tackle real-world challenges.

Qualifications

• PhD in Computer Science/Engineering, Electronics Engineering, or equivalent preferred.
• Demonstrated capability to conduct innovative research.
• High-level expertise in deep learning methods required.

Responsibilities

• Undertake independent research in intelligent acoustic sensing using deep learning.
• Transform acoustic signals and apply mathematical tools for results interpretation.
• Produce research reports and publications as required.
• Interact with medical experts and lead relevant meetings as needed.
• Provide guidance to students associated with the project.

Skills

Independent

Highly analytical

Proactive

Team player

Excellent communication skills

Research experience in acoustic sensing

Innovative research capability

Ability to formulate hypotheses

Expertise in deep learning methods

Collaboration in multidisciplinary teams

Education

PhD in Computer Science/Engineering or Electronics Engineering

Job description

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 for Data Science and AI by QS World University Ranking.

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 intelligent acoustic sensing leveraging deep learning

• To independently transform acoustic signals from continuous space to digital forms and apply math tools to interpret the 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, Computer Science/Engineering, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In‑depth research experience in acoustic based sensing design and analysis.

• 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.