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Nanyang Technological University

Fully Funded PhD in AI for Drug Discovery and Multi-Modal Large Language Models for Biomedical Science at Nanyang Technological University Nanyang Technological University in Singapore

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Singapore

University

Nanyang Technological University

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Mathematics
Artificial Intelligence
Computational Biology
Python Programming
Medical Science
Physics
Biomedicine
Large Language Models
Machine learning

About this position

This fully funded PhD scholarship at Nanyang Technological University, Singapore, focuses on the application of artificial intelligence for drug discovery and the development of multi-modal large language models in biomedical science. The position is designed for candidates eager to contribute to cutting-edge research at the intersection of AI and medicine, working within a team that integrates computational and experimental approaches to accelerate drug development.

The research group offers a unique environment where AI technologies are combined with experimental wet lab work, enabling rapid testing and validation of AI-designed therapeutics. The opportunity is ideal for students with backgrounds in computer science, mathematics, machine learning, physics, biomedical engineering, biochemistry, or biology. Candidates should demonstrate proficiency in machine learning/deep learning, knowledge of large language models, and Python programming skills.

Applicants are expected to submit a curriculum vitae, transcripts, and a brief description of their research interests and experiences. The application should be sent directly to Assistant Professor Alvin Chan at guoweialvin.chan@ntu.edu.sg. The scholarship provides full funding, including tuition and a stipend, supporting academic and professional growth in a vibrant, intellectually rich environment.

This PhD program is an excellent opportunity for those passionate about AI, drug discovery, and biomedical innovation, offering the chance to be part of research that redefines the future of medicine. The application deadline is Fall 2025, and interested candidates are encouraged to apply early.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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