Research Fellow (Food Science & Technology)

Research Fellow (Food Science & Technology)

National University of Singapore – Queenstown

The National University of Singapore is the national research university of Singapore.

Founded in

• as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

Job Description

The Assistant Professor Zhang Dachuan at the Department of Food Science and Technology, National University of Singapore (NUS), is seeking a Research Fellow to join the team working on artificial intelligence and food science.

This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation.

Overview

The selected fellow will contribute to cutting-edge projects such as :

Developing domain-specific LLMs (named FoodmoleGPT) that integrate molecular- and formulation-level food science knowledge.

Designing multimodal AI systems that connect chemical, biological, and sensory data with textual and scientific knowledge.

Applying LLMs to accelerate discovery in food bioactives, sustainable materials, and food formulation.

The position will be administered by the Department of Food Science and Technology (Faculty of Science, NUS) and hosted by the Food Informatics and AI Research Group.

The Research Fellow will be based in NUS, with opportunities to collaborate with researchers in computer science, life sciences, and industry partners.

Duties

Conduct independent and collaborative research on LLM design, fine-tuning, and evaluation for food-related tasks.

Develop AI workflows and platforms for integrating domain knowledge into LLMs.

Publish high-quality research in peer-reviewed journals and present at international conferences.

Work with multidisciplinary teams across NUS and external collaborators to validate and apply developed tools.

Qualifications

Degree and experience : Applicants must have a PhD in Computer Science, AI / ML, Computational Biology, Food Science with computational expertise, or a related field.

Experience with natural language processing, machine learning frameworks (e.g., PyTorch, TensorFlow), and / or domain knowledge in food or chemistry is highly desirable.

Language : Applicants must have strong communication skills and an excellent command of written and spoken English.

Documents Required for Application

Curriculum vitae, including a list of publications.

Research statement (max. 3 pages) outlining experience and future plans at the AI-food interface.

Certified copies of PhD degree and transcripts.

Names and contact details of three referees (letters of recommendation to be provided upon request).

Contact Person

For queries, please contact

More Information

Location : Kent Ridge CampusOrganization : ScienceDepartment : Food Science & TechnologyJob requisition ID :

#J-