**Job Description**
The School of Materials Science and Engineering (MSE) at NTU is seeking a Research Fellow to lead AI-driven research in life sciences, specifically focusing on applications in aquaculture and drug delivery. This role involves working at the intersection of materials science, biology, and computational modeling to address complex challenges.
**Skills & Abilities**
• Ability to work independently and collaboratively in a multidisciplinary environment.
• Strong analytical, problem-solving, and communication skills.
**Qualifications**
Required Degree(s) in:
• Computer Science
• Artificial Intelligence
• Data Science
• Computational Biology
• Biomedical Engineering
• Related discipline
**Experience**
Other:
• Strong research expertise in machine learning, deep learning, or computational modeling with demonstrated application in life sciences, aquaculture, or drug delivery.
• 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 clinical data).
• Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Prior experience in grant writing, project management, or mentoring students is advantageous.
Note: We’ve analyzed the actual job post using AI, for more details visit the original job post by clicking on “Apply Now”!
Other similar jobs that might interest you
