Plant Sciences & Computer Vision (Agronomy)

LUXEED Robotics

We deploy AI-driven laser weeding robots to eliminate herbicides and protect soil, water, and yields.

Plant Sciences & Computer Vision (Agronomy)

Responsibilities:

• Periodically identify and document various weed species, phenotypes, and BBCH-Scale versus carrot and spinach crops in real-world conditions.
• Selective Field Analysis: Conduct onsite assessments primarily when moving to new fields.
• Organize botanical data and labels to help the AI team improve real-time weed detection and tracking.
• Create guidelines and documentation to help image-labellers with their job.
• Act as the final reviewer on our labelling platform to identify wrong labels.
• Plant Growth Documentation: Identify crops and weeds across all growth stages to ensure reliable depth estimation and perception.
• Evaluate the biological and optical fidelity of computer-generated images to ensure generated images accurately reflect real-world field conditions.

Qualifications:

• Currently enrolled in Applied Biology or Horticulture & Business Management BSc
• Strong Botanical Eye: You can reliably tell the difference between a carrot cotyledon and a blade of grass.
• Tech-Curious: You don't need to be a coder, but you are comfortable working with digital tools
• Detail-Oriented: Precision is everything when lasers are involved.
• Language: English; Dutch is a plus

What We Offer:

• Hybrid & Task-Based: A flexible schedule (~10-20 hours/week) that fits your studies.
• Impact: Work on cutting-edge technology that directly eliminates chemical use in agriculture.
• Innovation: Be part of a fast-paced R&D environment in the heart of the Limburg agtech scene.
• Free transportation when needed for field visits.

Minimum Hours per Week:

7-9 hours per week

Duration:

3-5 months