Join us
Joining the lab
How to get involved with RIPL as an M.S./undergraduate student, Ph.D. student, or post-doc.
Areas of interest: Our lab works on a range of fundamental machine/deep learning methods for multi-modal/vision-language models, including memory and reasoning, often focusing on robustness. In addition, we work on Embodied AI/robotics including Vision-Language-Action (VLA) models, World Models, and (Real-)Sim-Real. Of course, things move fast so we are open to any works addressing fundamental intelligence capabilities targeted at current limitations of both research and frontier models. Check out our latest publications or just ask for the latest!
M.S. & undergraduate students
Please fill out the interest form below and we will get back to you. Do this relatively early, before the subsequent semester starts.
Fill out the interest formPh.D. students
I tend to accept one or two Ph.D. students every year in machine learning for perception and robotics.
Current Georgia Tech students
Look over our research and, if interested, email me with your CV and a succinct statement of your past experience and current interests. Contact me many weeks before the semester starts — opportunities fill up quickly.
Applying students
Follow the application process of the college/school you are applying to. I am in the School of Interactive Computing under the College of Computing, and hire from several Ph.D. programs including machine learning (ML) and robotics. Mention my name in your application if you are interested in the lab.
External students / interns
I am not currently looking for external visiting researchers or interns. If you are not at Georgia Tech and not applying for a post-doc, the best way to work with me is by applying to the school (see above).
Post-docs
While I am not actively looking, feel free to contact me about post-doc positions in machine learning for perception, focusing on the areas above. Interest in the intersection of robotics and machine learning is welcome as well.
Strong research experience and publication records are expected for top venues in these fields (CVPR / ICCV / ECCV, ICLR / ICML / NeurIPS, ICRA / IROS / RSS, etc.).