Research Associate

Requisition ID: 2024-8135

of Openings: 1

Location: US-UT-Logan Category: Research (non-Faculty) Position Type: Non-benefited (hourly) Part-Time Job Classification: Non-Benefited College: College of Agriculture and Applied Sc Department: Plants Soils and Climate Advertised Salary: Commensurate with experience

Overview The Plants, Soils and Climate Department is currently seeking a talented graduate student with a passion for image processing and deep learning to join our team. The project focuses on employing image and video processing and deep learning techniques to monitor water levels in irrigation canals. It necessitates extensive fieldwork for image collection and laboratory work to develop a robust model to measure water levels.

Responsibilities Field Surveys and Data Collection:

• Install and maintain cameras and other sensors along canals and ditches in designated valleys across Utah.
• Conduct regular field surveys to ensure proper functioning of the equipment.

• Collect and log data, including water levels, and images from the installed cameras. Data Management and Preprocessing:

• Clean, normalize, and preprocess collected data to ensure high quality and consistency.

• Maintain a well-organized database of all collected data Machine Learning Model Development:

• Develop and train machine learning models to detect and predict water levels in canals and ditches.

• Use regression models for continuous predictions and classification models for categorizing water levels.

• Implement image processing techniques using Convolutional Neural Networks (CNNs) to analyze visual data from cameras. Validation and Calibration:

• Conduct field tests to validate the accuracy of model predictions against actual water level measurements.

• Calibrate sensors and models to improve predictive accuracy.

Qualifications Minimum Qualifications:

• Enrollment in a MS or PhD program.
• Demonstrated expertise in developing and deploying machine learning models.
• Proficiency in programming languages and libraries such as Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and OpenCV.
• Proficiency in image and video processing and deep learning methodologies.
• Strong analytical, problem-solving, and data visualization skills.

• Strong communication skills for effective reporting and collaboration. Preferred Qualifications:

• Experience with cloud computing platforms such as AWS, Google Cloud, or Azure for data storage and processing.

• Familiarity with edge computing and deploying models on devices like Raspberry Pi or Arduino. Knowledge, Skills, and Abilities:

• Familiarity with IoT devices and camera-based data collection.

• Ability to work independently in remote field locations and as part of a multidisciplinary team.
• Strong aptitude for effective fieldwork.
• Willingness to travel frequently to various field sites in Utah.

Required Documents Along with the online application, please attach:

• Resume to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV"

Document size may not exceed 10 MB.

Advertised Salary Commensurate with... For full info follow application link.

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