Crop Sensing & AI Research Assistant

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 39,000 - 58,000; Full time

Job summary

Nanyang Technological University in Singapore seeks a Research Assistant for Crop Experiments and Sensing to support an NRF AI-for-Science Catalytic Grant project. You will work on greenhouse operations, crop experiments, and plant proximal/remote sensing, coordinating with vendors and funding agencies.

The role involves data pipelines, ML inputs, and ensuring reliable operation of sensing systems, with interaction across disciplines and international partners.

Qualifications

• Bachelor's degree in Remote Sensing, Agricultural/Electronic/Biosystems Engineering, Plant/Computer Science, Agronomy or relevant fields.
• Advanced knowledge in proximal/remote sensing, and cameras.
• Advanced knowledge in image processing and programming.
• At least 2 years of relevant experience; willingness to work with agritech IoT equipment.

Responsibilities

• Assist in deployment, operation, and maintenance of proximal sensing systems (RGB, 3D, hyperspectral, thermal) and agritech sensors.
• Procure experimental equipment, sensors, and peripherals.
• Maintain data pipelines for greenhouse experiments and adapt code for different crops.
• Consolidate data from multiple sources for ML modeling and maintain data integrity.
• Coordinate with vendors to troubleshoot sensing-related issues.
• Monitor experiments using phenotyping software and dynamic irrigation scheduling.
• Coordinate greenhouse operations with the greenhouse manager, including manpower and seedling production.

Skills

Remote sensing

Image processing

Programming

Education

Bachelor's degree in Remote Sensing / Agricultural Engineering / Electronic Engineering / Biosystems / Plant Science / Computer Science

Tools

Cameras

Job description

Nanyang Technological University in Singapore seeks a Research Assistant for Crop Experiments and Sensing to support an NRF AI-for-Science Catalytic Grant project. You will work on greenhouse operations, crop experiments, and plant proximal/remote sensing, coordinating with vendors and funding agencies.

The role involves data pipelines, ML inputs, and ensuring reliable operation of sensing systems, with interaction across disciplines and international partners.