The Autonomous Physics Group at Oklahoma State University seeks candidates to expand the capabilities of our high-speed insect tracking rig. The high-speed insect tracking facility has recently received extensive hardware improvements, including the addition of 4 Photron NOVA high speed cameras which include full-resolution tracking capability at 12,800 frames per second, and is powered by a 14-core 4.3 GHz workstation with NVIDIA-based parallel computation capability. The experimental enclosure and stimulus have been designed to stimulate previously un-quantified insect flight behaviors, allowing scientists to build quantitative mathematical models of the flexible information processing encoded in the sensing and feedback paths of aerial insects.
Ideal candidates will have experience in computer vision or vision based motion tracking, including developing related code (e.g, C, C++, Python, or MATLAB) packages. Familiarity with DLT models, image segmentation, hull reconstruction, Bayesian inference frameworks, and/or parallel computation toolboxes is desirable, as is exposure to high-speed experimental tracking setup practices.
ABOUT THE RESEARCH GROUP: The Autonomous Physics Group builds mathematically rigorous models of the flexible information processing aerial insects use to enable robust autonomy, and translates those models to engineered unmanned aerial systems. Read more at www.autophysics.weebly.com
Qualified individuals should contact the lab director Imraan Faruque with "postdoc" in the email subject. To apply, include a CV, brief statement of research experience and interests, and names of 3 references.