Research Fellow (Ecology/Biogeochemistry/Earth Science/Soil Science/Environmental Science/Hydrology/Computer Science)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

The Asian School of the Environment at Nanyang Technological University (NTU) invites applications for a Research Fellow to join a computational ecology project focusing on AI-assisted soil models within environmental sustainability research. Applicants should have a PhD in ecology or related fields and a track record in process-based modeling, Earth system simulations, and deep learning.

Collaboration with a diverse, interdisciplinary team is expected to advance climate solutions and HPC

Qualifications

• PhD in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology, CS, or related field.
• Strong writing and communication skills.
• Prior involvement in research with publications or conference presentations preferred.

Responsabilités

• Develop soil organic carbon models focusing on microbial processes and stoichiometry dynamics.
• Develop rock weathering, nutrient uptake, and soil-carbon coupling models.
• Integrate Earth system model modules and run scenario analyses.
• Advance physics-informed deep learning and AI-driven modeling approaches.
• Contribute to data collection, synthesis, and large-scale analyses.

Connaissances

Process-based modeling

Earth system modeling

Deep learning

High performance computing

Academic writing

Formation

PhD in Ecology/Soil Science/Environmental Science

Outils

Python

R

HPC

Description du poste

The Asian School of the Environment (ASE) at Nanyang Technological University (NTU) is an interdisciplinary school that will be a world leader in environmental research focused on Asian environmental challenges. The ASE integrates Earth and environmental sciences to build an understanding of our planet and environment and to address key issues of environmental sustainability and its impact on society.

For more details, please view https://www.ntu.edu.sg/ase.

We are seeking a Research Fellow to join the research team led by Nanyang Assistant Professor Feng Tao in computational ecology. The role will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep learning are preferred.

Key Responsibilities:

• Soil organic carbon model development and optimization, focusing on microbial processes and stoichiometry dynamics
• Enhanced rock weathering model development and optimization, focusing on hydrological coupling and organo-mineral interactions
• Crop model development and optimization, focusing on pore-to-rhizosphere scale nutrient uptake and yield dynamics
• 14C modeling for soil organic and inorganic carbon
• 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

Job Requirements:

• A PhD degree in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology, computer science, or related field
• Familiarity with soil carbon/element cycles
• Prior experience in at least one of the following fields: process-based model development, Earth system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and deep learning
• Strong academic writing and communication skills
• Prior involvement in research projects, evidence of publishing in peer-reviewed journals or presenting at conferences are preferred.

Interested candidates should submit the following documents:

• A 1-page cover letter detailing research interests and relevant experience.
• A current CV, including name and contact information for one reference.
• One representative publication (if applicable)

ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

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