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Topic list for potential master theses or internships

You want to write your master thesis in the landuse group of PIK? Or you want to stay for a longer internship? Please contact us!

Below you find a list of potential topics within the Landuse Group. If you get in contact, we might also find together further interesting topics. Due to the complexity of the subject, we can only offer internships for 6 months or more, and master thesis supervision for 6 - 12 months. Unfortunately, we cannot offer payment for the internships or master thesis.


Where does this number come from? 

Science needs to be transparent and reproducible! When working with several data sources and various calculations - as we do - one can easily loose track of how a final result was actually derived. We have some ideas on how to automatically keep track of all of it and make not only our research but also the research of others more accessible. Do you want to help shaping research more towards transparency and reproducibility?
Required Skills:
Abstract thinking and solid programming skills in R. Contact: Dr. Jan Philipp Dietrich

CO2 fertilization. Good for plants but only if?

CO2 fertilization stimulates photosynthesis in C3 plants and increases water use efficiency in all plants. But can it help to achieve food security? Required skills: You need advanced programming skills in R or other languages and some basic knowledge of statistics and data analysis are helpful. Contact: Christoph Müller.

Boxing data: operationalization of measured data

Measurements of field trial data come in bits and pieces, which greatly hampers data analysis. Can raster data formats help? Let's assess if storing measurements in gridded form can help, how suitable the netCDF data format and the corresponding toolboxes (cdo, nco) are for agricultural field measurement data. This work will be conducted in cooperation with the Forschungszentrum Jülich, including the option to participate in measurement campaigns there. Required skills: You should have a basic understanding of programming (e.g. in R or cdo, nco), data analysis and statistics. Contact: Christoph Müller.

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