Utah Valley University is seeking a student to assist the Engineering department. Student researcher will be in the Electrical and Computer Engineering program (preferably Computer Engineering) of the Engineering Department through funding from Utah System of Higher Education ( USHE ), Deep Technology Talent Initiative. Will work directly with Dr. Mohammad Shekaramiz from the Engineering Department on drone-based online condition monitoring, fault diagnosis, and reliability prediction of wind turbine blades using artificial intelligence. Looking for highly motivated students who are willing to learn and boost their knowledge. Maximum of 10 hours per week The primary responsibility would be to work with Dr. Mohammad Shekaramiz from the ECE program of the Engineering Department on Undergraduate Research in the area of automated drone-based systems with artificial intelligence training for online condition monitoring, fault diagnosis, and reliability prediction of wind turbine blades. Must be a student enrolled at UVU in the Engineering Department Must be interested in signal and image processing, coding, software development, machine learning, and artificial intelligence (AI). Knowledge of artificial intelligence (AI) Knowledge of signal and image processing Knowledge of supervised and unsupervised machine learning algorithms, feature extraction, classification methods, etc. Rigorous experience in Python, C++, and MATLAB Knowledge of deep learning and big data Good understanding of probability and probabilistic modeling Knowledge of wind power generations Hands-on experience with the use of sensors and data acquisition Good grasp of the fundamentals of Electrical and Computer Engineering Knowledge of software development Knowledge of path planning and control of drones