AI-Driven Sensor Fusion for Crop Phenotyping Intern

Vylor; Indianapolis (IN); On-site; USD 45,000 - 67,000; Full time

Job summary

Vylor in Indianapolis is seeking an AI, Sensor Fusion & Precision Phenotyping Intern for a 3-month Summer 2027 research internship. You will join the AI & Breeding group to develop field-deployed perception systems that turn raw sensor data into quantitative plant measurements.

Work spans computer vision, 3D geometry, LiDAR and multi-modal sensor fusion on ground robotic platforms in real breeding environments, with ownership from problem framing through algorithm development, field validation,

Qualifications

• Pursuing MS/PhD in CS/CE/Robotics or related field; PhD preferred.
• GPA 3.0+ preferred.
• Strong foundation in CV, ML, robotics or phenotyping, with 3D geometry knowledge.
• Proficient Python with PyTorch/TensorFlow.
• Software engineering: clean APIs, modular code, Git, testing.
• Hands-on LiDAR, 3D reconstruction, camera/LiDAR calibration, or multi-sensor fusion.
• Strong analytical and communication skills.

Responsibilities

• Extract quantitative plant traits from multi-modal field imagery—RGB, LiDAR, multispectral, hyperspectral, thermal, and IMU/GNSS—using 3D computational geometry and sensor-fusion techniques.
• Implement and execute repeatable, well-documented workflows that apply established computer vision and machine learning methods with sensor-fusion-driven pre- and post-processing, delivered as modular components and scalable pipelines.
• Own a scientific research project with direct plant breeding impact: design experiments, quantify accuracy and failure modes, collaborate with breeders, geneticists, and engineers, and communicate results to technical and business audiences.

Skills

Computer Vision

Machine Learning

Robotics

Python programming

Git

3D point cloud processing

Sensor fusion

Education

MS/PhD in CS/CE/Robotics or related

Tools

Open3D

PCL

ROS/ROS 2

COLMAP

OpenCV

PyTorch3D

CloudCompare

Helios

Job description

Vylor in Indianapolis is seeking an AI, Sensor Fusion & Precision Phenotyping Intern for a 3-month Summer 2027 research internship. You will join the AI & Breeding group to develop field-deployed perception systems that turn raw sensor data into quantitative plant measurements.

Work spans computer vision, 3D geometry, LiDAR and multi-modal sensor fusion on ground robotic platforms in real breeding environments, with ownership from problem framing through algorithm development, field validation,