Join Us

Why Join the OpenMoss Lab!

Are you passionate about Generative AI, LLM-driven agents, Trustworthy AI, Human-AI Collaboration, or Embodied AI? Do you want to work on cutting-edge research that not only advances theory but also powers real products with real-world impact? If so, we invite you to join the FudanNLP Contextual Intelligence (OpenMoss) Lab!

At OpenMoss, we are more than just a research group—we are a community. We believe that transformative research thrives in an environment where people feel supported, motivated, and inspired. Our mission goes beyond top-tier publications: we aim to bridge the gap between research and practice, turning ideas into technologies that shape the future.

At OpenMoss, you will:

  • Work on cutting-edge LLM research with real-world applications
  • Be mentored by world-class faculty and senior PhD students
  • Access state-of-the-art computing resources (NVIDIA 3090/4090, A800, H100)
  • Collaborate with leading tech companies on impactful projects
  • Become part of a community where groundbreaking research meets real-world innovation

If you are eager to push boundaries, tackle challenging problems, publish in leading venues, and see your research come to life in impactful products—while being part of a collaborative and supportive team—we would love to have you on board!


Our Lab Culture

The OpenMoss Lab is founded on the belief that groundbreaking research emerges from an environment of trust, collaboration, and shared growth. These values shape our culture:

  • 🤝 Collaboration & Mentorship – We learn from one another, whether you are an undergraduate intern or a senior researcher. No one advances alone—progress is always a team effort.

  • 🚀 Ambition & Impact – We aim to push the frontiers of AI, from large language models to embodied intelligence, with research that leads to real-world systems and lasting impact.

  • 💡 Creativity & Exploration – Curiosity drives innovation. We embrace bold, unconventional ideas and encourage exploration across disciplines and modalities.

  • 📚 Excellence with Support – Our shared goal is to publish at top AI/ML and interdisciplinary venues. From brainstorming to experiments to writing, we support each other at every stage.

  • 🎯 Ownership & Growth – Every member is empowered to take initiative, lead projects, and develop their own research identity, while contributing to the broader mission of the lab.

  • 🌍 Belonging – We welcome students from diverse backgrounds, believing that varied perspectives spark stronger and more innovative research. No matter where you come from, you belong here.

At the OpenMoss Lab, you are never alone in your research journey—we work together, grow together, and celebrate each other’s successes.


Who Should Apply?

The OpenMoss Lab is looking for passionate undergraduate interns, master’s, PhD students, and self-funded visiting students/scholars who want to push the boundaries of AI research and see their work drive real impact.

We are looking for people who have:

🔹 Strong Teamwork Skills

In the era of large-scale models, impactful research is rarely done alone—it requires collaboration. We value proactive communication, clear documentation, and a rigorous approach to teamwork.

  • Dedication and commitment to producing high-impact results
  • Proficiency with Git for both personal code management and team collaboration
  • Ability to document work clearly (e.g., using Feishu Docs or Markdown) to facilitate collaboration and knowledge sharing
  • We recommend a document-style CV that highlights substance over design

🔹 Research or Programming Foundations

We welcome students from diverse backgrounds, but candidates with prior experience will be given priority. Some examples of valuable skills:

Programming foundations (any of the following is a plus):

  • Deep understanding of the Transformer architecture
  • Participation in programming or algorithm competitions (NOIP, NOI, ACM, etc.)
  • Core contributions to open-source projects
  • Experience with large-scale parallel computing or system operations

Research foundations (any of the following is a plus):

  • Proficiency with PyTorch or similar frameworks for training neural networks
  • Familiarity with LLMs (e.g., GPT-4, Claude, DeepSeek) and some prompt engineering experience
  • Strong English reading ability for academic papers, and solid skills in literature search and information gathering
  • Prior experience with paper submission (authorship not required)
  • Previous involvement in research projects (able to clearly explain your role and contributions)

🔹 Exceptional Ability to Learn New Knowledge

(If you demonstrate this, other requirements can be secondary!)

  • A genuine passion for continuous learning and research
  • Ability to quickly grasp new concepts and connect them to broader ideas (you should be able to demonstrate this in interviews)

How to Apply?

IMPORTANT: We expect applicants to complete some of our recommended resources in advance—this may include selected courses, problem sets, or curated readings.

If you are interested in working with us, please first read the instructions above and fill out the application form. Due to the high volume of requests, we apologize in advance for not being able to reply to every inquiry!

For specific opportunities, please see our Career page.