Research Fellow (Artificial Intelligence for Life Sciences Applications)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The School of Materials Science and Engineering (MSE) at NTU is seeking a Research Fellow in Artificial Intelligence for Aquaculture Applications. The successful candidate will lead research that applies AI to tackle challenges in aquaculture and drug delivery interface of materials science biology and computational modeling.
Key Responsibilities:
Lead and execute AI-driven research projects in aquaculture (e.g. behavioral analysis growth prediction digital twin computer vision.)
Develop train and validate advanced computational models and machine learning algorithms tailored to complex datasets.
Collaborate with multidisciplinary teams including biologists engineers to translate AI methods into practical solutions.
Publish high-quality research outcomes in top-tier journals and present findings at international conferences.
Contribute to grant applications and proposals to secure external funding.
Mentor graduate students and junior researchers in computational and AI-related research methodologies.
Maintain and manage computational resources datasets and research documentation to ensure reproducibility and integrity.
Support collaborations with external academic industry and government partners to promote translational impact.
Job Requirements:
PhD in Computer Science Artificial Intelligence Data Science Computational Biology or a related discipline.
Strong research expertise in machine learning deep learning or computational modeling with demonstrated application in life sciences aquaculture.
Proven track record of high-quality publications in relevant international journals or conferences.
Experience handling complex multi-modal datasets (e.g. biological imaging environmental or data).
Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn) and image segmentation model (e.g. YOLO-seg SAM)
Ability to work independently and collaboratively in a multidisciplinary environment.
Strong analytical problem-solving and communication skills.
Prior experience in grant writing project management or mentoring students is advantageous.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
Key Skills
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Statistical Software
- Cell Culture
- Molecular Biology
- Data Analysis Skills
- Flow Cytometry
- Microscopy
About Company
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.
