Internship Automation & Phenotyping
- Operations & Trialing
- De Lier
- Syngenta Seeds
Job description
This vacancy has now expired. Please see similar roles below...
Internship: “Data scientist for Tomato
Harvesting Robot project”
Company: Syngenta Seeds BV
Business Unit: Seeds – Vegetables & Field Crop Seeds
Location: Tomato Vision (Maasland, The Netherlands)
Position type: Internship (as part of a study at university)
Into action
Automation is key to enable high-throughput phenotyping to feed the increasing population. At Syngenta, we test and implement leading edge technologies to achieve this ambition. In this role as an intern, you own and drive the data analysis of the automation and high-throughput phenotyping initiative in Tomato Vision in De Lier/Maasland, which is at the technology forefront of greenhouses. Here, Syngenta and a robotic company have a robot deployed to enable the future of harvesting. You will work in an interdisciplinary, international team with members from breeding, automation & engineering, phenotyping/plant physiology and technology facility management. Combination with an academic thesis possible.
Main tasks:
- Integrate multiple data sources, clean the data, perform data analysis, visualize the data, define standard KPI analysis tool.
- Build the E2E data pipeline for script based routine analysis and use those insights for data collection improvements and/or adaptations to the robot.
- Plan, oversee and perform (ground truth) data collection together with the local data collection team.
- Optimize the phenotyping & ground truth concept, identify parameters/traits for comparison.
- Develop the required adaptions together with the vendors and validate the upgraded solution.
- Define a routine concept for the data use from the robot for breeding purposes and advancement decisions.
- Support to define an E2E operation concept of the robot
- Support the interdisciplinary project team.
- Interaction-point with the vendors locally and remote to enable E2E data pipeline.
- Local representative of the project team at Tomato Vision (De Lier).
Your profile
To succeed in this position, you are actively studying data/computer science, biosystems engineering, robotics or other technical field (Bachelor or Master). You are interested in new technologies like drones/robots, and you are able to handle integration and have a passion for data, including the analysis of huge data sets. You have excellent communication skills (incl. English), you are creative, you work independently, you think ahead and have passion to explore something new – please send your application to the contact details below!
Supporting skills: Python, PowerBI, Excel Suite, Git, data base management/visualization, cloud storage e.g. AWS
Key facts
Starting date: April/May 2024
Duration: ~ till end of 2024
Location: Tomato Vision, De Lier
Language: English, Dutch (optional)
Your Chance!
If you recognize yourself in the profile and would like to apply for this position, please upload your resume and motivation letter at www.syngenta.com. If you would like to have more information about this vacancy please contact our recruiter Silvana van den Elzen at Silvana.van_den_elzen@syngenta.com
Syngenta is a leading developer and producer of seeds. We bring farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Join the most trusted and collaborative team in agriculture
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Join the most trusted and collaborative team in agriculture
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Every one of our talented employees helps shape who we are and the impact we make on agriculture.
We offer very diverse opportunities for leaders, experts, students and graduates. And we will nurture you, so you can grow and contribute in your own unique way.
- De Lier