Research Fellow / Engineer – AI & Data Analytics for Food & Nutrition

About the role

The Singapore Institute of Technology seeks a Research Fellow or Research Engineer to support a project developing data‑driven modelling, optimisation, and decision‑support tools for food and nutrition systems. You will work closely with the Principal Investigator on data analytics, computational modelling, machine learning and optimisation activities.

Key responsibilities

• Collect, organise, process and analyse datasets from diverse sources.
• Develop computational models, data‑analytics workflows and decision‑support tools.
• Conduct data visualisation, model validation and performance evaluation.
• Assist in developing and testing machine‑learning and optimisation models.
• Prepare technical reports, research documentation, presentations and journal/conference materials.
• Support student projects, project coordination, progress reporting and research administration.

Required profile

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Food Science, Nutrition or related field.
• Interest or experience in food systems, nutrition, sustainability or supply‑chain applications is advantageous.
• Strong analytical, problem‑solving and quantitative skills with ability to work independently and collaboratively.
• Good written and verbal communication skills and strong organisational abilities.

Required skills

• Proficient programming in Python.