This is a non-tenure-track, year-to-year appointment, renewable annually for up to four years subjected to satisfactory performance, availability of resources, and the needs of the Institute. We particularly look for applicants that have a demonstrated track record in robotics, machine learning, artificial intelligence and have strong background in systems and control problems. Demonstrated proficient programming skills are required (Preferably Python), and practical experiences with embedded real-time systems are desired. It is expected from any candidate to have demonstrated/published research products based on Robot Operating System (ROS) applications, especially within the experimental setups of localization and navigation problems for both hardware and software implementations. Besides, the applicants with additional expertise in deep learning, online data stream classification and clustering analysis, are more preferred. The candidate will also be working with both graduate and undergraduate students in a mentoring role and will be involved in developing research proposals, conducting workshops, and seminars. The candidate will enjoy a dynamic and collaborative working environment of our cutting-edge autonomous vehicle research team. U.S. citizenship is preferred, and minority candidates are strongly encouraged to apply. If interested, please apply electronically by sending a detailed curriculum vitae, copies of your top three publications, the summary of your PhD dissertation, names and contact information of three references, and other information that might be relevant to your application to ACIT Institute Director Dr. Abdollah Homaifar (homaifar@ncat.edu). https://jobs.ncat.edu/postings
Primary Function of Organizational Unit:
The Autonomous Control and Information Technology (ACIT) Institute at NC A&T State University's Electrical Engineering Department, invites applications for a full-time, post-doctoral research associate position in Artificial Intelligence and Machine Learning and its applications to control of autonomous vehicles. The current research project aims to use data driven methods to develop and implement control, as well as testing and evaluation techniques for autonomy algorithms of autonomous vehicles.
Internal job number: 009278
Requirements:
PhD in Electrical Engineering or related field
Preferred:
5 years of experience, which will include time to earn the PhD degree.
Special Instructions:
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.
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