Research Engineer (Texture Analysis) - VT&AG

Singapore Institute of Technology

Singapore

On-site

SGD 50,000 - 70,000

Full time

14 days+
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Job summary

A leading university in applied learning is seeking a motivated Research Engineer to develop and validate texture testing methods for elder-friendly foods. This fixed-term position involves designing experiments and collaborating with various experts. Candidates should have a degree in Food Science and experience with texture analysis techniques. Strong analytical skills and proficiency in analysis software are essential for success in this role. Join us in enhancing elderly individuals' quality of life through innovative food products.

Qualifications

  • Degree in Food Science, Food Engineering, Materials Science, or related field required.
  • Experience with instrumental texture and image analysis techniques is highly desirable.
  • Proficiency in material characterization techniques and analysis software is expected.

Responsibilities

  • Conduct comprehensive literature reviews on food texture analysis.
  • Design experiments for instrumental texture analysis of IDDSI Level 5 foods.
  • Document findings in technical reports and prepare presentations.

Skills

Analytical skills
Problem-solving skills
Excellent communication

Education

Degree in Food Science or related field
Master’s or Ph.D. in related field

Tools

Texture analyzers
Statistical software

Job description

Overview

Research Engineer (Texture Analysis) - VT&AG

Posting Start Date: 15/09/2025 | Schemes of Service: Research | Division: Health and Social Sciences | Employment Type: Fixed Term

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.

About the DIGNIFIED programme

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.

Job Description

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.

Key Responsibilities
  • Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework.
  • Design and execute experiments to develop new instrumental texture analysis methods suitable for IDDSI Level 5 foods.
  • Validate new methods against existing standards and a sensory panel to ensure accuracy and clinical relevance.
  • Collect, analyze, and interpret data from instrumental and sensory evaluations.
  • Document all experimental procedures, findings, and analyses in technical reports and prepare presentations to industry stakeholders and manuscripts for publication in peer-reviewed journals.
  • Collaborate with a research team, including food scientists, clinicians, and engineers, to ensure the developed methods are practical and clinically relevant.
Job Requirements
  • A degree in Food Science, Food Engineering, Materials Science, or a related field. A Master’s or Ph.D. in a related research field is advantageous.
  • Experience with instrumental texture, image analysis and particle sizing techniques (e.g., texture analyzers, universal testing machines) is highly desirable.
  • Strong analytical and problem-solving skills.
  • Proficiency in material characterization techniques, such as stress-strain characterization.
  • Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software).
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Demonstrated commitment to strong research ethics and data integrity

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