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 "other" document section.

The Autonomous Control and Information Technology (ACIT) Institute at NC A&T State University is inviting applicants to submit for a full-time, post-doctoral research associate position in Machine Learning and Unmanned Vehicles.

The project focus is on data driven methods to develop and implement testing and evaluation techniques for autonomy algorithms of autonomous vehicles and it is funded by a project funded NASA ULI.

PhD in Electrical Engineering, Computer Science, Aerospace or related field

5 years of experience in data driven methodology and testing and evaluation, which will include time to earn the PhD degree.

None

You must complete and submit an electronic application for employment to be considered. Resumes will not be accepted in lieu of completing an electronic application. Applicants seeking Veteran's Preference must attach a DD 214 form. Certificate of Release or Discharge from Active Duty with your application during the process of applying to the job posting. Final candidates are subject to criminal and sex offender background checks. North Carolina A&T State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. North Carolina A&T State University is an Equal Opportunity and Affirmative Action Employer. No one who applies or seeks employment will be denied admission to or employment at North Carolina A&T State University on the basis of race, religion, color, national origin, sex, age, disabling condition, veteran status, political affiliation, genetic information or sexual orientation and sexual identity.


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