AI-Driven Soil Ecology Research Fellow

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

Job summary

NTU's Asian School of the Environment invites applications for a Research Fellow in computational ecology, starting as soon as possible. The role focuses on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions, with emphasis on microbial processes and nutrient cycling.

Candidates should hold a PhD in ecology, biogeochemistry, Earth/soil science, or related fields, have experience with process-based modeling, Earth system analysis, data

Qualifications

• PhD qualification in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology, computer science, or a related field.
• Familiarity with soil carbon/element cycles.
• Prior experience in process-based model development, Earth system model simulation/analyses, data assimilation, large-scale data collection and synthesis, HPC, and deep learning.
• Strong academic writing and communication skills.
• Prior involvement in research projects with publications or conference presentations preferred.

Responsibilities

• Soil organic carbon model development and optimization, focusing on microbial processes and stoichiometry dynamics
• Crop model development and optimization, focusing on pore-to-rhizosphere scale nutrient uptake and yield dynamics
• Global soil meta-databases collection, integration, and synthesis
• Earth system model new module integration, scenario simulations, and prognostics analyses
• Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization

Skills

Soil carbon cycles

Process-based modeling

Earth system modeling

Data assimilation

High performance computing

Deep learning

Education

PhD in ecology/biogeochemistry/Earth/soil science/computational field

Job description

NTU's Asian School of the Environment invites applications for a Research Fellow in computational ecology, starting as soon as possible. The role focuses on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions, with emphasis on microbial processes and nutrient cycling.

Candidates should hold a PhD in ecology, biogeochemistry, Earth/soil science, or related fields, have experience with process-based modeling, Earth system analysis, data