For Prospective Students
Open Positions
We are currently recruiting self-motivated PhD students, visiting students, and interns.
How to Apply (PhD)
Interested candidates should email Dr. Fan with:
- A CV
- A one-page research proposal that includes: (1) your research interests, (2) how they align with our lab, (3) a concrete problem you want to study, (4) a brief roadmap, and (5) expected outcomes
What We Provide
- Mentorship and research training: Support to build strong research skills and publish high-quality papers.
- Internship support: PhD students are encouraged and supported to pursue summer internships, including guidance on applications and referrals when appropriate.
- Equal opportunities for visitors and interns: Visiting students and interns have the same access to mentorship, research guidance, recommendation letters (when earned), and computing resources as PhD students.
- Computing resources: Our lab has servers with 8x NVIDIA A6000 (96GB) GPUs and workstations with RTX 5090 GPUs. Texas A&M also provides campus-wide access to a large AI cluster with 700+ H200 GPUs. We regularly run large-scale experiments locally and scale up through collaborations with industry partners.
Student Mentoring
Dr. Fan has mentored undergraduate and master's students worldwide, many of whom have gone on to pursue PhD studies at UT Austin, the University of Cambridge, The Chinese University of Hong Kong, and Texas A&M University.
About the PI
Dr. Zhiwen Fan is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University. His research focuses on computer vision, generative models, and robotic perception. His work has received recognition including: Best Paper Award at the ACM MM 2025 Workshop on Multimodal Foundation Models for Spatial Intelligence; Best Paper Award at the CVPR 2025 Workshop on AI for Content Creation; Qualcomm Innovation Fellowship (North America) 2022; 3rd Place for Best Demonstration at DAC 2022; and 3rd Place in the ICCV 2025 COGS Challenge for Compact 3D Representation.
He has served as an Area Chair for ICLR 2025, NeurIPS 2025, and ICASSP 2026, and as an Associate Editor for IEEE TCSVT. He has also organized workshops including End-to-End 3D Learning; 3D Geometry Generation for Scientific Computing; Multi-Agent Embodied Intelligent Systems in the Agentic AI Era: Opportunities, Challenges, and Futures; and Foundation Models Meet Embodied Agents.