Research Fellow (Distributed Acoustic Sensing) Full-time

Research Fellow, Distributed Acoustic Sensing

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. Our mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

We are looking for a Research Fellow, Distributed Acoustic Sensing to advance research on distributed fiber-optic sensing for infrastructure, urban, and environmental applications. The role will focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field experiments for real-world deployment.

Key Responsibilities:

• Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban geophysics, and environmental sensing applications.
• Design and execute lab-scale experiments to validate DAS methodologies, sensing configurations, and multi-modal measurement strategies.
• Plan and conduct field deployments using telecom fiber networks or dedicated fiber-optic sensing systems in civil infrastructure and dense urban environments.
• Build scalable pipelines for DAS data quality control, denoising, event detection, inversion or imaging, system identification, and data fusion.
• Integrate DAS with complementary sensing modalities and computational tools, including AI or ML where appropriate, to improve monitoring performance and scientific understanding.
• Prepare publications, presentations, technical reports, and proposal inputs; mentor students and collaborate with the PI and external partners.

Job Requirements:

• PhD in Civil/Structural Engineering, Geophysics, Seismology, Engineering Mechanics, Electrical/Computer Engineering, Applied Physics, Optical Engineering, Computer/Data Science, or a related field.
• Strong research record in distributed fiber-optic sensing, DAS, wave propagation, structural health monitoring, passive seismology, geophysical imaging, or related areas.
• Experience processing large-scale DAS datasets, including signal processing, quality control, feature extraction, system identification, imaging, inversion, or source characterization, is highly desirable.
• Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code development skills; experience with Git-based workflows and AI or ML for science is a plus.
• Experience designing and executing laboratory or field experiments, with willingness to engage in fieldwork using telecom fiber networks or other DAS deployments.
• Good written and oral communication skills, with the ability to publish high-quality research and collaborate across interdisciplinary teams.
• Ability to work independently, mentor students, manage multiple research tasks, and contribute to a fast-paced collaborative research environment.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU