Process-Guided AI Soil Modeling Fellow

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking 3 Research Fellows and 1 Research Associate in computational ecology focusing on AI-assisted soil community modeling. Applicants should hold a Master’s or PhD in relevant fields such as ecology or environmental science and have experience in process modeling, data analytics, and deep learning. The role starts as early as August 1, 2026, with applications reviewed from June 15, 2026. NTU supports diversity and inclusivity in its workforce.

Qualifications

• Master or PhD qualification in relevant environmental sciences.
• Familiarity with soil carbon and element cycles required.
• Experience in process-based model development is preferred.

Responsibilities

• Lead soil organic carbon model development and optimization.
• Develop models focused on hydrological coupling and organo-mineral interactions.
• Integrate global soil meta-databases for synthesis and analysis.

Skills

Process-based modeling

Data analytics

Deep learning

Soil organic carbon cycles

Academic writing

Communication skills

Education

Master's degree in ecology or related field

PhD in ecology or related field

Tools

Earth system model simulation

High performance computing

Job description

Nanyang Technological University Singapore is seeking 3 Research Fellows and 1 Research Associate in computational ecology focusing on AI-assisted soil community modeling. Applicants should hold a Master’s or PhD in relevant fields such as ecology or environmental science and have experience in process modeling, data analytics, and deep learning. The role starts as early as August 1, 2026, with applications reviewed from June 15, 2026. NTU supports diversity and inclusivity in its workforce.