Position AnnouncementUtah 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 motived students who are willing to learn and boost their knowledge. Maximum of 10 hours per week.
Summary of ResponsibilitiesResearch in area of automated drone-based system with artificial intelligence training:
Online condition monitoring
Fault diagnosis
Reliability prediction of wind turbine blades
Minimum Qualifications- Student enrolled at UVU in the Engineering Department
- Must have a great interest in signal and image processing, coding, software development, machine learning and artificial intelligence (AI).
Knowledge, Skill, and Abilities
Knowledge of:- Artificial intelligence (AI)
- Signal and image processing
- Supervised and unsupervised machine learning algorithms, feature extraction, classification methods, etc.
- Rigorous experience in Python, C++, and MATLAB
- Wind power generations
- Software development
- Path planning and control of drones
- Deep learning and big data
- Good understanding of probability and probabilistic modeling
- Hands-on experience with the use of sensors and data acquisition
- Good grasp of the fundamentals of Electrical and Computer Engineering
EEO Statement:
UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
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