AI Research Fellow: Aquaculture & Life Sciences Innovation

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

NTU's School of Materials Science and Engineering invites a Research Fellow in Artificial Intelligence for Aquaculture Applications to lead AI-driven research at the interface of materials science, biology and computational modeling.

The role focuses on behavioral analysis, growth prediction, digital twins and computer vision for aquaculture. You will publish in top journals, mentor students, collaborate across disciplines and contribute to funded projects.

Qualifications

• PhD in CS/AI/Data Science or related field.
• Strong ML/DL research track record.
• Experience with multi-modal datasets.
• Publications in international journals/conferences.
• Programming in Python; ML frameworks.
• Grant writing or mentoring experience is advantageous.

Responsibilities

• Lead AI-driven research projects in aquaculture and drug delivery.
• Develop, train, and validate advanced computational models.
• Collaborate with biologists and engineers to translate AI into solutions.
• Publish high-quality research in top journals and present at conferences.
• Contribute to grant applications and proposals for external funding.
• mentor graduate students and junior researchers in AI.
• Maintain datasets and compute resources for reproducibility.

Skills

ML/DL research

multimodal data analysis

academic writing

interdisciplinary collaboration

Education

PhD in CS/AI/Data Science/Computational Biology

Tools

TensorFlow

PyTorch

Scikit-learn

YOLO-seg

SAM

Python

Job description

NTU's School of Materials Science and Engineering invites a Research Fellow in Artificial Intelligence for Aquaculture Applications to lead AI-driven research at the interface of materials science, biology and computational modeling.

The role focuses on behavioral analysis, growth prediction, digital twins and computer vision for aquaculture. You will publish in top journals, mentor students, collaborate across disciplines and contribute to funded projects.