International Summer School on Geospatial Data Science with R


Deadline: 15 May 2019
Open to: students, PhD students and Postdocs
Venue25 August –  1 September 2019 in Jena, Germany

Description

This is the website for information on the International Summer School on Geospatial Data Science with R generously funded by the German Academic Exchange Service (DAAD). The summer school is hosted by the GIScience department of Jena and will take place in the last week of August (25 August to 1 September 2019).

The summer school teaches advanced geospatial techniques for analyzing and predicting global change phenomena on the command line in a fully reproducible workflow. This includes predictive modeling using statistical and machine learning techniques (see program for more detailed information). We will exclusively use open-source software (R, Python, GDAL, QGIS, etc.).

Eligibility

This is a fantastic opportunity for students, PhD students and Postdocs.

Cost & Scholarships

The summer school is generously funded by the German Academic Exchange Service (DAAD). A moderate registration fee of 100 Euro is required to cover additional expenses such as a field trip, coffee, snacks and alike.

Accepted international participants will receive:

  • a flat-rate allowance of 250 Euros
  • a country-dependent travel stipend amounting to at least 200 Euros (see columns Land/Ort, meaning country/location, and Spalte 1, simply meaning column 1, in this pdf).

This means, that each accepted international participant will receive at least 450 Euros upon succeful completion of the summer school!!!

Applicants from Germany are welcome to apply but only a limited number can be admitted and no funding can be granted.

Application

To apply, please send your CV and a motivation letter as a single pdf file to:

The CV and motivation letter, both one page in size, should at least state your:

  • current position, affiliation and country of residence
  • citizenship
  • area of expertise and interests
  • spatial statistics as well as programming skills
  • confirmation to bring a poster or short presentation to shortly introduce your work (needed on Thursday, see program)
  • expectations
  • interest in taking part in the excursion on Saturday (optional; see program)

The received data (e-mail, application) will be stored during the selection process, the funding management and for information sharing. The received data will be deleted six month after the summer school event.

The official web-page.