Wireless Sensing Research Associate for Smart Agriculture

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore’s College of Computing and Data Science invites applications for a research-focused role in wireless sensing technologies. The successful candidate will investigate feasibility across platforms, develop sensing systems for real-world environments such as agriculture and water-quality monitoring, and explore applications in environmental intelligence and food sensing.

Applicants should hold a Master’s degree in Computer Science, Computer Engineering, Electrical/Electronic

Qualifications

• Knowledge of RF or wireless sensing, electromagnetic principles, or passive metasurfaces.
• Ability to develop and evaluate sensing methods through modelling, experimentation, and data analysis.
• Ability to conduct independent research and contribute to multidisciplinary collaborations.
• Strong analytical and communication skills, including the ability to write scientific publications.
• Demonstrated capability to conduct innovative research.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

Responsibilities

• Investigating the feasibility of extending wireless sensing to new platforms and emerging sensing modalities, including quantum wireless sensing platforms.
• Developing and evaluating wireless sensing systems in real-world settings, including agricultural field testbeds, water-quality monitoring systems, and other field settings.
• Exploring applications of wireless sensing in smart agriculture, environmental intelligence, and food sensing.
• Publishing research findings in peer-reviewed journals and conferences to share results with the broader research community.

Job description

NTU Singapore’s College of Computing and Data Science invites applications for a research-focused role in wireless sensing technologies. The successful candidate will investigate feasibility across platforms, develop sensing systems for real-world environments such as agriculture and water-quality monitoring, and explore applications in environmental intelligence and food sensing.

Applicants should hold a Master’s degree in Computer Science, Computer Engineering, Electrical/Electronic