- Clementi West Region (Singapore) Singapore
Kerja Sepenuh Masa Research Scientist (Reinforcement Learning for Decision Support), Gaji tinggi SGD 9,800 di ILLINOIS ADVANCED RESEARCH CENTER AT SINGAPORE LTD. West Region (Singapore) - Maukerja
Research Scientist (Reinforcement Learning for Decision Support)
ILLINOIS ADVANCED RESEARCH CENTER AT SINGAPORE LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
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 Research Scientist to advance reinforcement learning under Thrust 3(Decision-Making). The successful candidate will build decision-support tools that use agricultural digital twins as simulators, from farm management to regional policy design. The work will identify adaptive management strategies that balance crop productivity, greenhouse gas emissions and economic outcomes, and help translate the program’s digital twins into tools that farmers, agencies and partners can act on.
Key Responsibilities:
Required:
Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position to Gabriel Tan (*************)with the subject line “
KGAI4Ag Research Scientist (Reinforcement Learning for Decision Support) – 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.
About Illinois Advanced Research Center at Singapore Ltd.:
Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS) is a Singapore company affiliated with the University of Illinois Urbana-Champaign (Illinois) in the USA. Established in 2009 for the purpose of conducting impactful research, Illinois ARCS operates today in partnership with the National Research Foundation (NRF) and a myriad of additional sponsors, universities and collaborators both in and outside Singapore. Illinois ARCS directly interfaces with Illinois for its research program leadership and many of its business support functions.
Illinois ARCS is an interdisciplinary research center focusing on breakthrough innovations with current core programs focusing on interactive cyber-infrastructures and fermentation-based food production. Strategically planned expansion of the portfolio is anticipated with a corresponding growth in personnel. Illinois ARCS’s research mission is carried out through programs and projects that facilitate interactions among Illinois researchers, local researchers, and industry partners.
Illinois ARCS is situated in NRF’s Campus for Research Excellence and Technological Enterprise (CREATE) on the campus of the National University of Singapore (NUS), along with several other research centers established by top universities in the world.
Current research activities of Illinois ARCS take place within a major core program sponsored by NRF CREATE coupled with several additional research projects that receive funding from various sources, including the corporate sector. For more information, please visit Illinois ARCS website: Home | Illinois Advanced Research Center at Singapore (Illinois ARCS) | Illinois
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 Research Scientist to advance reinforcement learning under Thrust 3(Decision-Making). The successful candidate will build decision-support tools that use agricultural digital twins as simulators, from farm management to regional policy design. The work will identify adaptive management strategies that balance crop productivity, greenhouse gas emissions and economic outcomes, and help translate the program’s digital twins into tools that farmers, agencies and partners can act on.
Key Responsibilities:
- Lead research on reinforcement learning and sequential decision-making under uncertainty.
- Couple RL methods with crop digital twins, using them as simulators to identify adaptive farm management strategies that balance yield, greenhouse gas emissions and farmer income.
- Extend methods to multi-agent and policy settings to support national and regional decisions, including food trade and climate-related scenarios.
- Develop bandit, optimization and uncertainty quantification approaches that make recommendations robust and data-efficient.
- Translate research outputs into decision support systems with the data platform and digital twin teams.
- 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.
Required:
- PhD in computer science, machine learning, operations research, applied mathematics, statistics or a related field.
- Extensive experience in reinforcement learning or sequential decision-making, shown by publications in leading machine learning venues.
- Strong programming skills in Python and PyTorch.
- Excellent communication and scientific writing skills in English, the working language of the US–Singapore team, publications and reports.
- Experience with multi-agent systems, bandit algorithms or simulation-based optimization.
- Experience with uncertainty quantification and decision-making under uncertainty.
- Experience working with physics-based simulators, digital twins or decision support systems.
- Familiarity with agriculture, environmental science or sustainability applications.
- 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.
Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position to Gabriel Tan (*************)with the subject line “
KGAI4Ag Research Scientist (Reinforcement Learning for Decision Support) – 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.
About Illinois Advanced Research Center at Singapore Ltd.:
Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS) is a Singapore company affiliated with the University of Illinois Urbana-Champaign (Illinois) in the USA. Established in 2009 for the purpose of conducting impactful research, Illinois ARCS operates today in partnership with the National Research Foundation (NRF) and a myriad of additional sponsors, universities and collaborators both in and outside Singapore. Illinois ARCS directly interfaces with Illinois for its research program leadership and many of its business support functions.
Illinois ARCS is an interdisciplinary research center focusing on breakthrough innovations with current core programs focusing on interactive cyber-infrastructures and fermentation-based food production. Strategically planned expansion of the portfolio is anticipated with a corresponding growth in personnel. Illinois ARCS’s research mission is carried out through programs and projects that facilitate interactions among Illinois researchers, local researchers, and industry partners.
Illinois ARCS is situated in NRF’s Campus for Research Excellence and Technological Enterprise (CREATE) on the campus of the National University of Singapore (NUS), along with several other research centers established by top universities in the world.
Current research activities of Illinois ARCS take place within a major core program sponsored by NRF CREATE coupled with several additional research projects that receive funding from various sources, including the corporate sector. For more information, please visit Illinois ARCS website: Home | Illinois Advanced Research Center at Singapore (Illinois ARCS) | Illinois
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