Become a Pioneer in AI and Software Engineering

Join SELAB to shape the future of technology.

Our Research Focus: AI-Powered Software Engineering

We develop cutting-edge AI and software engineering techniques to solve real-world problems. Our core research involves building highly effective and adaptable RAG-sLLM and RAG-LMM. Key research topics include:

  • LLM-Based Multi-Agent Bug Fixing: A modular framework where specialized sLLM agents collaborate to perform automated debugging.
  • LLM-Based Bug Report Generation: Automating the creation of clear, reproducible, and context-rich issue descriptions.
  • LLM-Based Test Case Generation: Generating and validating robust software test cases by analyzing requirements and code.
  • LLM-Based Commit Message Generation: Automatically generating concise commit messages from code changes to improve repository history.
  • LLM-Based Bug Fixing Optimization: Enhancing bug detection and patch generation accuracy under Zero-shot, Few-shot, and Fine-tuned settings.

An Environment Built for Your Success

We provide comprehensive support to ensure you can focus on what matters: your research and growth.

  • State-of-the-Art Hardware: A dedicated server (i9-14th Gen, 192GB RAM, RTX 5090) and access to shared H100 & RTX 4090 clusters.
  • Full Financial Support: Full tuition coverage, living expense stipends, and performance-based research incentives.
  • Global Conference Support: We fully fund travel and participation in top-tier domestic and international conferences.
  • Career Development: Access to premium technical resources, coding platforms, and personalized career coaching.

Apply Now: Open Positions

We are currently accepting applications for the following positions (As of August 2025):

  • Post-Doctoral Researcher: 1 Position
  • Graduate Student (M.S./Ph.D.): 1 Position
  • Undergraduate Research Intern: 1 Position

Interested applicants should prepare a CV and contact Prof. Geunseok Yang to schedule a meeting.

gsyang@hknu.ac.kr / Engineering Building 1, Room 311