Hybrid Field Data & Digital Phenotyping Intern

Bayer AG; Chesterfield (MO); Hybrid; USD 3,134,000 - 6,578,000; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement plan

PTO

Sick leave

Job summary

Bayer Crop Science invites applications for a Data Collection and Digital Phenotyping Intern at our Chesterfield, Missouri facility. The role focuses on collecting imagery from field trials, using LiDAR and multispectral sensors, and collaborating with Data Science and Field Testing teams to drive digital phenotyping research.

The internship requires advanced degree candidacy (MS/PhD), UAV licensing or the ability to obtain it, and knowledge of remote sensing and ML concepts.

Qualifications

• Active MS or PhD candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or pathology).
• FAA Part 107 license to operate UAVs is a must, or ability to obtain before the start date.
• Strong knowledge of remote sensing technologies, including LiDAR, multi-spectral or hyperspectral technologies.
• Familiarity with agricultural research and field trial methodologies.
• Ability to work collaboratively across areas of expertise.
• Basic understanding of core ML concepts (loss functions, regularization, optimization methods such as SGD/Adam, and learning rate scheduling).

Responsibilities

• Collect imagery and other sensing data from field trials using LiDAR, multi-spectral, and other sensors.
• Collaborate with Field Testing and Data Science teams to integrate digital phenotyping insights.
• Support agronomic assessments using ground-truthing and UAV data collection.
• Contribute to system and workflow improvements for large-scale data challenges.

Skills

MS/PhD candidate

FAA Part 107

Remote sensing

ML basics

Collaboration

Ag research familiarity

Job description

Bayer Crop Science invites applications for a Data Collection and Digital Phenotyping Intern at our Chesterfield, Missouri facility. The role focuses on collecting imagery from field trials, using LiDAR and multispectral sensors, and collaborating with Data Science and Field Testing teams to drive digital phenotyping research.

The internship requires advanced degree candidacy (MS/PhD), UAV licensing or the ability to obtain it, and knowledge of remote sensing and ML concepts.