Student Researcher - Electrical & Computer Engineering USHE

at  Utah Valley University

Orem, UT 84058, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Jan, 2025USD 18 Hourly30 Oct, 2024N/AData Acquisition,Matlab,Software Development,Computer Engineering,Image Processing,Deep Learning,Probability,Machine Learning,Python,Sensors,Path Planning,Processing,Artificial Intelligence,Feature Extraction,C++,Big DataNoNo
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Description:

POSITION ANNOUNCEMENT

Utah Valley University is seeking a student to assist the Electrical & Computer Engineering Department. The student researcher will be in the Electrical & Computer Engineering department through funding from the Utah System of Higher Education (USHE) Deep Technology Talent Initiative.
The student will work directly with Dr. Shekaramiz 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.

QUALIFICATIONS / LICENSES / CERTIFICATIONS

  • Must be a student enrolled at UVU in the Electrical & Computer Engineering Department
  • Must have a great interest in signal and image processing, coding, software development, machine learning, and artificial intelligence (AI).

KNOWLEDGE / SKILLS / 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

Skills and Abilities:

  • 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

Responsibilities:

Research in area of automated drone-based system with artificial intelligence training:

  • Online condition monitoring
  • Fault diagnosis
  • Reliability prediction of wind turbine blades


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Electrical/Electronic Manufacturing

Engineering Design / R&D

Electrical Engineering

Graduate

Proficient

1

Orem, UT 84058, USA