CH-2025-000011
Location
Switzerland
Internship type
ON-SITE
Reference number
CH-2025-000011
General discipline
Agriculture
Completed Years of Study
2
Fields of Study
Plant Sciences
Languages
English Good (B1, B2)
German Good (B1, B2)
Required Knowledge and Experience
-
Other Requirements
-
Duration
16 - 18 Weeks
Within These Dates
12.05.2025 - 12.09.2025
Holidays
NONE
Work Environment
-
Gross pay
2400 CHF / month
Working Hours
40.0 per week / 8.0 per day
Type of Accommoditation
IAESTE LC Zurich
Cost of lodging
800 CHF / month
Cost of living
1650 CHF / month
Additional Info
Any student with Non-EU/EFTA nationality needs an official letter from their university, confirming that the internship is compulsory (required for visa/work permit).
Work description
Situated in the heart of Europe, yet forging connections all over the world, ETH Zurich is pioneering effective solutions to the global challenges of today and tomorrow. You will work in an interdisciplinary research team comprising crop geneticists, remote-sensing specialists, phytopathologists and crop physiologists. The experiments take place on the experimental station in Lindau-Eschikon, with excellent connection to the center of Zurich by public transportation. The internship include a breeding excursion, training in crop phenotyping and data processing (R). You will learn a wide range of different techniques, e.g., how to handle phenotyping equipment in the field (LITERAL, fieldbook app, drones, PhotosynQ) or analyze seeds by means of image processing and near-infrared spectroscopy. Among Other, you will assist with:i) ground truthing for the calibration of the new, multi-view sensor head of the FIP,ii) genotype screening of wheat, peas, oats, buckwheat, and soybean, andiii) seed harvest and threshing. ReportingThe student will have to write a small report (cumulative during the time of the stay) comprising1. A list of tasks done during the internship as related to date and crop development (growth stage)2. A summary of scientific phenotyping methods learned3. And a project report summarizing the results obtained in the students projectAdditional Info:Motivated and highly skilled students will be offered to actively participate in a research project and may contribute to data analysis in R.
Deadline
11.12.2024