Opportunities
I am actively recruiting 3 PhD students (full scholarship, starting as early as 2027 Spring), 3 postdoc (starting as early as August 1, 2026), master/undergraduate interns, and visiting scholars to join my lab at ASE-NTU.
PhD Students
Ideal candidates will be interested soil biogeochemistry and its responses to climate change in general. The lab’s current research themes include:
Soil organic carbon: formation, persistence, and responses to climate change
- Global soil organic carbon age and turnover informed from radiocarbon data
- Soil microbial physiology (e.g., microbial carbon use efficiency) and its environmental controls
Enhanced rock weathering for scalable carbon dioxide removal
- Key limitations in enhanced rock weathering to sequester carbon dioxide (theory & data syntheses)
- Long-term fate of sequestered carbon in enhanced rock weathering across soil-river-ocean systems.
- Soil organic-inorganic carbon interactions
Cross-scale land carbon cycle model development
- COUpled Soil Inorganic-organic carbon model for eNhanced wEathering (COUSINE) to manage carbon dioxide removal
Process-guided and AI-assisted foundation model in biogeochemistry
- Biogeochemistry-Informed Neural Network (BINN)
To Apply: If you are interested in joining us, please send Feng an Email addressing your experiences and interests in joining the lab, please include the following documents in your attacchement:
- A 1-page statement letter detailing your research interests and relevant experience.
- A current CV, including name and contact information for one reference.
- One representative publication (if applicable) Please note that prior publication is not necessary for PhD applicants, nor you need to have a well-defined thesis idea at this point. A good sense of research topics that excite you will be the key in the evaluation.
The application deadline for January 2027 intake will be 31 July 2026. Getting in touch before is highly recommended.
Postdoc and research associate positions
We are looking for 3 Research Fellows and 1 Research Associate to join the team as early as August 1, 2026. 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.
To Apply: If you are interested in joining us, please follow the instruction at NTU Workday. Applications will be reviewed starting June 15, 2026, continuing until all the positions are filled.