The primary purpose of the position is to develop data driven methods and implement testing and evaluation techniques for autonomy algorithms of unmanned aerial vehicles. The position is a non-tenure-track with a year-to-year appointment. This role is renewable annually for up to three years subject to satisfactory performance and the availability of resources, and the needs of the Institute. In particular, we are looking for applicants with a demonstrated record of accomplishment in data science, unmanned aerial vehicles and have strong background in systems, testing, machine learning and evaluation problem solving. Demonstrated proficiency in programming skills are required (Preferably Python, C++, Matlab), and practical experiences with micro aerial vehicle such as quadcopter is desired. It is expected for candidates to have demonstrated/published research products on robotic applications, especially within the experimental setup of perception, localization, path planning, motion planning and navigation problems for both hardware and software implementation. Desired applicants have experience with simulation software such as Gazebo, or CoppeliaSim(V-REP) and popular python machine learning libraries including Numpy, Pandas, Bokeh, Tensorflow, PyTorch, scikit-learn etc.

The candidate will work with both graduate and undergraduate students in a mentoring role, and will be involved in developing research proposals, conducting workshops, and seminars. In particular, they will be conducting research on aerial robotics with either ROS or V-REP operating systems. The candidate will enjoy a dynamic and collaborative working environment on our cutting-edge autonomous vehicle research team. U.S. citizenship is preferred, but non U. S. citizens are also encouraged to apply. ABD candidates will also be considered. If interested, please apply electronically and send a detailed curriculum vitae, copies of your top three publications, a summary of your PhD dissertation, names and contact information of three references. Any, other information that might be relevant to your application is also welcome. Please forward all required information to ACIT Institute Director Dr. Abdollah Homaifar (homaifar@ncat.edu) for consideration. This information must be uploaded and attached to your application within

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