Your Job:
The CROP (Combining ROot contrasted Phenotypes for more resilient agro-ecosystem) project aims to estimate the beneficial impact of combining contrasting wheat root phenotypes in the same field. We aim to assess the benefits of the combination on water, carbon and nitrogen fluxes and cycles, microbial activity and yield. During the first stage of the project, experiments were carried out in field and laboratory conditions and a soil-plant model was set up. The experimental data can now be used to calibrate and test the model.
We are looking for a motivated intern to work on the treatment and storage of the experimental data for usage in the calibration of a plant-soil model. The intern will be in contact with both the modelling and experimental cluster of the project to gain an overview of the experimental setups, as well as of the model parameters. They will also have the opportunity to participate in ongoing field sampling campaigns or laboratory work.
Your responsibilities / tasks:
1. Get familiar with experimental setups and model parameter requirements
2. Organize and clean experimental datasets (Excel): improve file readability, document metadata, and log data locations
3. Collaborate with PhD researchers from the modelling and experimental teams to link data and model components
4. Conduct basic data analysis
Your Profile:
5. You are enrolled as a student at a university