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Research Associate (Horticulture and Plant Physiology)

ntu · NTU Main Campus

New
Mid 🇬🇧 English
Machine learning Programming

Job description

About the role

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, together with Wageningen University & Research (WUR), runs the Singapore Indoor Farming System (SingFarm), a CREATE-NRF programme building a sustainable, data-driven food production model. The Research Associate works in a multinational team on predictive climate and crop control strategies for indoor farming in Singapore, focusing on Asian leafy vegetables under higher temperature and humidity.

Key responsibilities

  • Develop and apply simulation and machine learning models for Asian leafy vegetables to predict growth, transpiration, resource use and yield under controlled environments.
  • Build self-learning models from continuous sensor data and calibrate and validate them with experimental datasets.
  • Conduct climate room experiments by varying environmental conditions for the growth of pak choi.
  • Develop, calibrate and validate an explanatory, dynamic crop growth model for pak choi.
  • Write scientific papers and take part in international conferences.
  • Collaborate with project partners to support predictive climate and crop control strategies for indoor farming.

Required profile

  • Master's degree in plant science, biology, agronomy or a related field.
  • Strong written and communication skills.
  • Knowledge of plant and crop physiology.
  • Experience or a demonstrated interest in a quantitative approach to crop growth.
  • Strong presentation skills for academic and non-academic audiences.
  • Good collaboration skills and ability to work in a team.

Required skills

  • Knowledge or experience in programming is preferred.

Questions fréquentes

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Source : ats:workday

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Published 11 hours ago

Expires 1 month from now

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ntu

NTU Main Campus