We are actively recruiting new members at all levels, including postdoctoral scholars, research staff, and students (graduate and undergraduate). We have a supportive culture where you can do impactful research, learn new skills, and achieve your personal goals.
If none of these make sense for you but you think you would be a good fit for the lab in another role, feel free to email the lab director, Nathan Jacobs. You should include your CV, an explanation of the the type of position you are interested in, and anything else you think would be useful.
The Multimodal Vision Research Lab (MVRL) conducts research that is grounded in computer vision, with a focus on publishing in top-ranked computer vision venues (CVPR, ICCV, and ECCV) and working closely with domain experts to solve global/scientific challenges (medical imaging, sustainable development, conservation, astrophysics, etc.). Most of our projects involve some aspects of machine learning, image/signal processing, linear/nonlinear optimization, and large-scale data processing. While many of our members have computer science (CS) backgrounds, we encourage people with strong computational and quantitative skills from other disciplines to apply. This includes, but is not limited to, Electrical Engineering, Imaging Science, Physics, Mathematics, Statistics, and Data Science.
We work on a variety of computer-vision research areas, including: