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