Job Description

We are seeking to appoint a Research Assistant who will contribute to NTU's mission of advancing applied research in large language models (LLMs), software engineering, and AI applications for healthcare and data systems.
Responsibilities:
Conduct research on large language models (LLMs), including their applications in code generation, data transformation, and medical AI.
Design and implement innovative AI-driven tools for data exchange, medical standardization, and risk prediction systems.
Collaborate with clinicians, academic partners, and industry stakeholders to co-develop AI systems for healthcare and data governance.
Prepare and publish high-quality research papers in top-tier venues (e.g., ACL, WWW, applied AI and software engineering conferences).
Contribute to research proposals for competitive funding opportunities in AI for healthcare and data systems.
Support supervision and mentorship of undergraduate students and junior researchers in AI and software projects.
Assist in building prototypes and demonstrators for research translation to practical healthcare and data applications.
Requirements:
A Master's degree in Computer Science, Artificial Intelligence, or a related discipline.
Research or applied experience in large language models (LLMs), software engineering, or healthcare-related AI applications.
Hands-on expertise in software development, back-end systems, and LLM prompt design and evaluation.
Experience in interdisciplinary projects, including AI for healthcare and data systems.
Proficiency in programming languages such as Python, Java, and C++, with experience in frameworks like Springboot.
Proficiency in experimental design, model evaluation, and reproducibility of research findings.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU

Skills Required