
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading university of applied research in Singapore seeks a motivated Research Engineer to develop innovative texture testing methods for food products. The successful candidate will collaborate with a team of scientists to enhance food quality for elderly consumption, working on practical lab projects in the area of applied research. Interested applicants with degrees in Food Science or related fields are encouraged to apply.
Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Country Singapore Application Deadline 17 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT.
The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs.
We are seeking a highly motivated Research Engineer to join our team for a fixed-term project. The successful candidate will be responsible for developing and validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol.