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Open nowPosted today

Postdoctoral Researcher (Applied Agroecosystem Modeller)

MyCareersFuture95,505 open roles

Pay
SGD 6,300 – SGD 8,000 a month
Where
West, Singapore
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Your applicationOpen nowPostdoctoral Researcher (Applied Agroecosystem Modeller)MyCareersFuture · West, Singapore

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The posting

About KGAI4Ag:

Advancing Knowledge-guided AI to Develop Agricultural Digital Twins for Singapore’s Climate Resilience (KGAI4Ag) is a research program of the Illinois Advanced Research Center at Singapore (Illinois ARCS), a research institute funded by the National Research Foundation (NRF) Singapore under the CREATE program.KGAI4Ag sits within the Southeast Asian Innovation Alliance for a Global Model of Future Agri-Food Systems (SIGMA), a U.S.–Singapore academic research alliance co-led by the University of Illinois Urbana-Champaign (UIUC) and the National University of Singapore (NUS) to enhance food security, sustain the environment and build resilient communities across Southeast Asia.

KGAI4Ag is developing first-of-its-kind digital twins for ASEAN agroecosystems by advancing knowledge-guided AI (KGAI), which integrates scientific principles with machine learning. The program is organized around three research thrusts:(1) Characterizing Physical Reality, which combines low-cost IoT field sensors, cameras and satellite remote sensing into analysis-ready datasets; (2)Developing Digital Twins, which couples dynamic 4D plant models with biogeochemical modelling through KGAI-based data assimilation at the field scale, and upscales these to the regional scale through a Bridge Model framework; and (3)Decision-Making, which turns digital twin outputs into AI-driven decision support for farm management, food trade, and measurement, reporting and verification (MRV) of agricultural carbon outcomes. Field work currently focuses on rice systems in Vietnam and cacao agroforestry in Indonesia.

About This Role:

KGAI4Ag seeks a Postdoctoral Researcher to apply the program’s field-level crop digital twin to precision management of rice. The successful candidate will simulate how irrigation, fertilizer and planting practices affect yield, greenhouse gas emissions and farmer income, linking the digital twin to SIGMA’s work on low-emission rice production in the Mekong Delta of Vietnam.

Key Responsibilities:

• Conduct research applying process-based models to precision crop management.

• Use the field-level crop digital twin to simulate the effects of irrigation, fertilizer and planting practices on rice systems.

• Quantify yield, nitrogen and greenhouse gas outcomes of management scenarios, with uncertainty analysis.

• Contribute to measurement, reporting and verification (MRV) of agricultural carbon outcomes.

• Work with field data from partner sites and undertake periodic travel to field sites in Vietnam.

• Publish in leading journals and present at conferences and project meetings.

• Collaborate across US–Singapore teams at UIUC, NUS and partner institutions, and mentor students and junior researchers.

Qualifications and Experience:

Required:

• PhD in agronomy, soil science, biogeochemistry, environmental engineering, Earth system science or a related field.

• Extensive experience applying process-based crops or agroecosystem models to management questions, shown by peer-reviewedpublications.

• Programming skills in Python.

• Excellent communication and scientific writing skills in English, the working language of the US–Singapore team, publications and reports.

Preferred:

• Experience in soil biogeochemistry, carbon-nitrogen cycling and greenhouse gas emissions modelling.

• Experience with model-data fusion or deep learning (e.g. PyTorch).

• Experience with scenario and uncertainty analysis.

• Familiarity with rice systems in Southeast Asia.

• Willing to participate in online meetings outside of regular working hours to ensure timely communication and continuity of business, in view of the strategic and affiliated relationship between the Illinois ARCS and the UIUC, as well as the time zone differences between the two locations.

Application Process:

Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position to Gabriel Tan ([email protected])with the subject line “KGAI4Ag Postdoctoral Researcher (AppliedAgroecosystem Modeler) – Singapore”. Please also include the transcripts of undergraduate studies, the names and contact details of three professional referees.

Applications will be considered until the corresponding position has been filled. Only shortlisted candidates will be notified.

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