Data Collection and Digital Phenotyping Intern

Bayer (Schweiz) AG; City of Brisbane; Hybrid; AUD 44,000 - 92,000; Full time

Benefits offered by this job

Health care

PTO

Job summary

Bayer is seeking a Data Collection and Digital Phenotyping Intern to collect imagery and remote sensing data at field trials, collaborating with Field Testing, Data Science, and Computer Vision teams. The role is hybrid at the Bayer Crop Science facility in Chesterfield, MO with travel to nearby field sites.

The internship involves LiDAR, multispectral/hyperspectral sensing and ML concepts. Requirements include being an MS or PhD candidate in a relevant discipline, FAA Part 107 license (or

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 and 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 a variety of sensing equipment including LiDAR and multi-spectral sensors.
• Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights.
• Support agronomic assessments using manual ground-truthing methods in addition to UAV/sensing data collection.
• Contribute to system and workflow improvements by applying creativity and problem-solving to large-scale data challenges.

Skills

Data science

Precision agriculture

Agricultural engineering

Plant physiology

Crop science

Entomology

Weed science

Pathology

Education

MS or PhD candidate

Tools

LiDAR

Hyperspectral sensors

Multispectral sensors

UAV imaging

Cloud platforms (AWS, GCP, Azure)

Job description

Data Collection and Digital Phenotyping Intern

Collect imagery and remote sensing data from field trials through various sensing technologies, as well as capture agronomic and manual experimental data; collaborate with Field Testing, Data Science, and Computer Vision teams to accomplish research goals.

This position is based on a hybrid work model at the Bayer Crop Science facility in Chesterfield, Missouri; regional travel includes nearby field testing sites in Illinois, with potential travel to other Midwest and Midsouth locations.

YOUR TASKS AND RESPONSIBILITIES

• * Collect imagery and other sensing data from field trials using a variety of sensing equipment including LiDAR and multi‑spectral sensors;
• * Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights;
• * Support agronomic assessments using manual ground‑truthing methods in addition to UAV/sensing data collection;
• * Contribute to system and workflow improvements by applying creativity and problem‑solving to large‑scale data challenges.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required 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 and 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).

Preferred Qualifications:

• * Hands‑on experience with modern remote sensing technologies and equipment;
• * One to two years of UAV imaging data collection experience;
• * Strong analytical and problem‑solving skills;
• * Experience with generating and managing large‑scale data sets from sensing equipment;
• * Experience with cloud platforms (AWS, GCP, or Azure).

Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is an E-Verify Employer.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Location: United States : Missouri : Chesterfield

Division: Crop Science

Reference Code: 883371

Contact Us

Email: [e-mail]