Deadline: 15 September 2019
Open to: applicants from Brazil, China, India, Russia or the United States
Benefits: fully funded
This is a fantastic opportunity for students, Ph.D. students (and Postdocs) for at least two reasons: First, the summer school will deliver high-quality lectures and tutorials on professional spatial data analysis, and secondly to support international collaboration, international participants (students and PhD students) will be supported financially regarding their travel and accommodation expenses.
The Alexander von Humboldt Foundation grants up to 50 German Chancellor Fellowships every year to prospective leaders from Brazil, China, India, Russia and the USA – irrespective of their field of work. Recipients use the fellowship to conduct together with their German host and mentor a socially-relevant project that they have developed themselves.
- The applicant must be a national of Brazil, China, India, Russia or the United States.
- Bachelor’s or equivalent academic degree completed less than twelve years before the beginning of the fellowship
- A confirmation of supervision by the host in Germany
- A project plan which candidates must draw up on their own and coordinate with their host.
- Initial proven leadership experience
- A monthly fellowship of EUR 2,150, EUR 2,450 or EUR 2,750, depending on your qualifications;
- Individual mentoring during your stay in Germany;
- Additional financial support for items such as family members accompanying you, travel expenses or a German language course;
- A study tour of Germany, an opportunity to meet the German chancellor at the end of your stay and a number of events during which you can make contact with other fellows and representatives of German companies and institutions;
- Extensive alumni sponsorship, particularly to help you sustain contact with collaborative partners in Germany during your entire professional career
How to apply?
In order to apply, please fill the application form.
For more information, please visit the official web page.