Prospective Students

Welcome to Rebecca AI Lab

We are excited that you are considering joining the Rebecca AI Lab at Feng Chia University! Our laboratory is a dynamic research environment dedicated to advancing the frontiers of artificial intelligence, with particular focus on music AI, neural networks, fuzzy logic, and deep learning applications.

What We Offer

As a member of our lab, you will have the opportunity to:

  • Engage in cutting-edge research that contributes to the global AI research community
  • Work on open-source projects that have real-world impact
  • Collaborate with international researchers and participate in academic conferences
  • Develop expertise in machine learning, deep learning, and AI applications
  • Build a strong research portfolio through publications and project contributions
  • Access state-of-the-art computing resources and research infrastructure

Our Research Areas

Our lab focuses on several key research domains:

  • Music & Audio AI: Generation, classification, and semantic understanding of music
  • Neural Networks: Advanced architectures including GANs, GRUs, Transformers, and xLSTM
  • Fuzzy Logic Systems: Uncertainty handling and intelligent decision-making
  • Computer Vision: Image analysis and multimedia understanding
  • Recommender Systems: Personalized content recommendation algorithms

Important Expectations

Performance Milestones

The Rebecca AI Lab maintains high standards for research excellence. We expect all members to:

  • Meet research milestones on schedule and contribute meaningfully to ongoing projects
  • Maintain consistent progress toward degree completion and research objectives
  • Participate actively in lab meetings, discussions, and collaborative work
  • Produce high-quality research outputs including publications, code contributions, and documentation
  • Demonstrate professional conduct in all academic and research activities

Commitment and Work Ethic

Research in our lab requires:

  • Strict adherence to deadlines - Research projects have firm timelines that must be respected
  • Resilience in the face of challenges - Research involves experimentation, and not all approaches will succeed
  • Willingness to learn from failure - Setbacks are part of the research process and valuable learning opportunities
  • Self-motivation and initiative - Successful researchers take ownership of their work
  • Time management skills - Balancing coursework, research, and other responsibilities effectively

Genuine Passion Required

We are looking for students who:

  • Have a genuine passion for AI and machine learning - This field requires continuous learning and dedication
  • Are excited about research - Not just completing assignments, but pushing boundaries
  • Enjoy problem-solving - Research involves tackling complex, open-ended problems
  • Value collaboration - Working effectively with team members and contributing to shared goals
  • Are committed to open science - Contributing to open-source projects and sharing knowledge

Is This Lab Right for You?

This lab may be a good fit if you:

  • ✅ Are genuinely passionate about AI, machine learning, and research
  • ✅ Can handle strict deadlines and manage multiple priorities effectively
  • ✅ View setbacks and failures as learning opportunities
  • ✅ Are self-motivated and take initiative in your work
  • ✅ Enjoy collaborative research and contributing to team projects
  • ✅ Are committed to producing high-quality research outputs
  • ✅ Can balance coursework, research, and other responsibilities

This lab may not be the right fit if you:

  • ❌ Are primarily seeking an easy path to a degree
  • ❌ Struggle with meeting deadlines or managing time effectively
  • ❌ Have difficulty handling failure or setbacks
  • ❌ Lack genuine interest in AI and machine learning research
  • ❌ Prefer working in isolation without collaboration
  • ❌ Are not willing to invest significant time and effort in research
  • ❌ Cannot commit to the performance standards expected in the lab

If you find yourself identifying more with the second list, we respectfully advise that you consider other laboratories that may better align with your goals and working style. This will help ensure your success and satisfaction during your graduate studies.

How to Apply

If you believe the Rebecca AI Lab is the right environment for you, we encourage you to:

  1. Review our research - Explore our publications and projects to understand our work
  2. Learn about our members - Get to know the lab team and their research interests
  3. Contact us - Reach out to Professor Pei-Chun Lin at peiclin@fcu.edu.tw with:
    • Your academic background and research interests
    • Why you are interested in joining our lab
    • How your goals align with our research focus
    • Your relevant experience and skills

Application Materials

When contacting us, please include:

  • Academic transcript showing your coursework and grades
  • CV or resume highlighting relevant experience
  • Statement of purpose explaining your research interests and goals
  • Portfolio or GitHub profile (if applicable) showcasing your projects and code
  • Any relevant publications or research experience

What to Expect After Joining

New lab members can expect:

  • Orientation and onboarding to familiarize you with lab resources and expectations
  • Assignment to research projects based on your interests and lab needs
  • Regular lab meetings for progress updates, discussions, and collaboration
  • Mentorship and guidance from Professor Lin and senior lab members
  • Opportunities for conference presentations and publication authorship
  • Support for professional development and career goals

Final Thoughts

The Rebecca AI Lab is committed to excellence in research and the success of our members. We believe in being transparent about our expectations so that students can make informed decisions about joining our laboratory.

Research is challenging, but it is also incredibly rewarding. If you have the passion, commitment, and resilience to thrive in our environment, we would be delighted to welcome you to our team.

We look forward to hearing from prospective students who are excited about contributing to cutting-edge AI research!

For questions or more information, please contact Professor Pei-Chun Lin at peiclin@fcu.edu.tw.