Research Fellow — AI-Driven Protein Food Innovation

Singapore Institute of Technology; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

The Singapore Institute of Technology is seeking a research staff member to contribute to the Proteins for Singapore (P4SG) project, joining a team to develop and understand algal/soybean/mung bean proteins for high quality alternative protein foods, including through high moisture extrusion.

Ideal candidates hold a PhD or advanced degree in food or engineering, with strong technical writing and presentation skills, and knowledge of processing technology, rheology, and machine learning.

Qualifications

• PhD or advanced degree in food or engineering field.
• Competence in processing technology, physical/structural analysis, and material formulation.
• Knowledge of food formulation, sensory analysis, extrusion technology, machine learning, and rheology is advantageous.

Responsibilities

• Deliver on the P4SG project and work with the PI and team to meet deliverables.
• Explore AI and machine-learning methods for process optimization in protein foods.
• Design, execute, and interpret experiments independently.
• Coordinate procurement and liaise with vendors/suppliers as needed.
• Communicate with internal and external stakeholders to ensure project success.
• Author papers for journals and contribute to grant writing.

Skills

Strong analytical reasoning

Critical thinking

Strong initiative

Technical writing

Excellent presentation

Education

PhD or advanced degree in food/engineering

Job description

The Singapore Institute of Technology is seeking a research staff member to contribute to the Proteins for Singapore (P4SG) project, joining a team to develop and understand algal/soybean/mung bean proteins for high quality alternative protein foods, including through high moisture extrusion.

Ideal candidates hold a PhD or advanced degree in food or engineering, with strong technical writing and presentation skills, and knowledge of processing technology, rheology, and machine learning.