Research Associate / Fellow – Plant Biology & Bioinformatics

About the role

The School of Chemistry, Chemical Engineering and Biotechnology at NTU Singapore, in partnership with Wageningen University & Research, is seeking a motivated researcher to advance high‑throughput phenotyping for indoor farming. You will work in a multinational team focused on sustainable, data‑driven food production.

Key responsibilities

• Develop high‑throughput phenotyping protocols for nutrient deficiency, transpiration, biomass, and produce quality using automated transpiration measurement, RGB side‑view imaging, 3D imaging, and chlorophyll‑fluorescence imaging.
• Create analysis pipelines for large phenotyping data streams, applying AI‑based image analysis and predictive modelling to assess abiotic and biotic stress tolerance.
• Build prediction models that estimate yield and quality from phenotyping data for cultivation management and genotype selection.
• Set up validation experiments with CRISPR or EMS mutants generated in related work packages.
• Document findings and contribute to scientific reports, publications, and presentations.

Required profile

• Research Associate: Master’s degree in Plant Biology, Bioinformatics, Data Science, Statistics, or Image Analysis.
• Research Fellow: PhD in the same or related fields.
• Demonstrated understanding of plant phenotyping and large‑scale data analysis; experience with AI tools for image analysis is preferred.
• Strong analytical abilities and capacity to work both independently and collaboratively.

Required skills

• High‑throughput plant phenotyping
• Imaging techniques (RGB, 3D, chlorophyll‑fluorescence)
• AI / machine‑learning for image analysis
• Predictive modelling
• CRISPR and EMS mutagenesis
• Data analysis and statistical methods

What we offer

• Opportunity to contribute to Singapore’s food‑security goals
• Collaboration with leading academic and industry partners
• Access to state‑of‑the‑art indoor farming facilities