Digital Genomics Prediction Intern

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Assist in the operations of the phenotyping platform, which includes deploying sensors, acquiring images, and collecting field data in both greenhouse and field settings.

• Play a role in the development of image processing workflows, trait extraction algorithms, and the optimization of analytical pipelines utilizing advanced computational technologies.

• Spearhead an independent research project aimed at validating phenotyping methodologies or innovating trait measurement techniques.

• Showcase the research project to leadership within the research team.

• Collaborate with plant breeders, agronomists, and data scientists to incorporate phenotypic insights into breeding strategies and product development initiatives.

• Keep meticulous experimental documentation, standard operating procedures, and technical records to ensure consistency and reproducibility.

• Acquire practical experience in agricultural technology, plant sciences, or graduate-level research.

⛳️ Requirements

• Must be currently enrolled as a graduate student at an accredited college or university.

• Pursuing a degree in Plant Breeding, Plant Science, Agronomy, Computer Science, Data Science, Engineering, Biology, Plant Pathology, Horticulture, Entomology, Weed Science, Crop Science, or a related field.

• Proficient in programming with Python and/or R for data analysis and visualization purposes.

• Maintain a minimum cumulative GPA of 3.0.

• Possess strong analytical thinking and problem-solving skills.

• Exhibit effective communication abilities for both technical and non-technical audiences.

• Hands-on experience in agricultural research, remote sensing, field trials, or crop production systems is advantageous.

• Desired experience working with geospatial datasets.

• Familiarity with GIS software, such as ArcGIS Pro and QGIS, as well as spatial databases, is preferred.

• Experience with machine learning applications in remote sensing, including classification, regression, and object detection, is desired.

🏝️ Benefits

• Competitive wages.

• Continuous career development resources.

• Chance to engage in meaningful and innovative projects that address real-world challenges.

• Support for work-life balance.

• A culture that promotes belonging and collaboration.

• Opportunities for professional development.