Plant Science Internship
Source.ag
Amsterdam, North Holland, Netherlands
800 / month
Hybrid
Entry
Starts on January 1, 2027
posted 1 day ago
Vacancy Summary
Join Source.ag as a Plant Science Intern and contribute to sustainable agriculture. You'll work with AI-driven tools to help growers enhance their harvests while minimizing resource use, gaining hands-on experience in greenhouse research.
Required skills
Engage
AI Tools
communication
Agronomy
Ownership
Operations
Artificial Intelligence (AI)
Feedback
Greenhouse
interviewing
Forecasting
Data Analysis
Dutch
English
Excel
Compensation
Horticulture
Sustainable Agriculture
LED Lighting
Programming
Technology
Experimentation
Research
Support
Production
Plant Science
Plant Health
Access
Calculations
Coding
Product Development
CAN
Commercial
Interviews
Food
Learning
AgTech
Analyzing
Growth Mindset
Well-being
Diversity
workflows
Move
(Gen)AI
English level
Fluent
Languages
English
🚀 Start: January-February 2027. Are you passionate about sustainable agriculture? At Source.ag, we develop AI-powered tools that assist growers in producing better harvests with fewer resources. We are seeking a hands-on Plant Science Intern to connect practical growing experience with software solutions.
Over Source.ag:
At Source.ag, our mission is to enable a sustainable future through advanced AI in greenhouse technology, delivering fresh produce globally. Our core values guide our work:
About Source.ag
Source.ag
AI-powered greenhouse management, made simple. Source.ag is making covered greenhouse agriculture accessible, profitable, and globally scalable. Together, we’re on a mission to feed the world, in a climate-resilient and resource-efficient way. Our solutions: 🪴Source Workspace: Centralizing Data for Smarter Operations 🪴Harvest Forecast: Predictable Yields for Smarter Sales and Operations 🪴Cultivation Management: Simulate, Optimize, and Execute for Maximum Yield 🪴Irrigation Control: Achieve Precise water and Nutrient Distribution with AI-driven Irrigation Strategies Our solutions offer in-depth data analysis, AI-driven cultivation management, forecasting, and autonomous execution strategies for lower risks and better results.
Locations
Amsterdam, NL
Website
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