Postdoctoral Researcher- Automated Drone-Based Wind Turbine Inspection
- Employer
- Utah Valley University
- Location
- Utah, United States
- Salary
- Salary Not specified
- Posted Date
- Jun 2, 2023
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Engineering
- Employment Level
- Post-Doc
- Employment Type
- Full Time
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Postdoctoral Researcher- Automated Drone-Based Wind Turbine Inspection
Salary: $44,352.00 - $55,440.00 Annually
Job Type: FT Nonexempt Salaried Staff
Job Number: FY2300977
Closing: 7/14/2023 11:59 PM Mountain
Location: 800 W University Parkway, Orem
Division: College of Technology/Computing
Position Announcement
Utah Valley University is currently seeking a Postdoctoral Researcher! Work directly with a professor in the Electrical Engineering and Computer Engineering program to complete a project on Drone and Machine learning. The multi-disciplinary project is on the development of an automated drone-based inspection system for online condition monitoring, fault diagnosis, and reliability prediction of wind turbine blades.
Summary of Responsibilities
- (60%) Develops algorithms for crack and anomaly detection via RGB camera using fuzzy systems and deep learning methods and architectures.
- (30%) Works with the PI, a Postdoctoral researcher and undergraduate students on writing papers to be submitted to conferences and journals, creating multiple posters based on the obtained results, and presenting them at various events.
- (10%) Preforms other job-related duties as assigned including but not limited to data and image collection.
Minimum Qualifications
PH.D. in Electrical and Computer Engineering or Computer Science from a regionally accredited institution.
Knowledge, Skill, and Abilities
Solid knowledge of computer vision and deep learning as well as programming with Python and MATLAB.
Must have extensive experience in the following areas.
Image processing/Computer vision and OpenCV.
- Proficient in Python libraries such as scikit-learn, pandas, matplot, Spacy, ect.
- Deep learning -Tensorflow, Keras, and Pytorch
- Evidence of solid experience in scholarly research
- A strong commitment to excellence in education
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.
To apply, please visit https://www.schooljobs.com/careers/uvu/jobs/4064482/postdoctoral-researcher-automated-drone-based-wind-turbine-inspection
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