IMPRS-IS is the official Ph.D. program of Cyber Valley. We're teaming up with CyVy to create a one-of-kind individualized training experience that will allow our researchers to create their very own start-up company. Scholars should find more details about how to apply here.
You don’t need a team, previous experience or a start-up project. All the tools you require for a successful start-up will be provided for you. Together with experienced start-up coaches, you will gain insights into topics such as team building, market analysis, prototyping and pretotyping, business models and start-up pitches. At the end you will get the chance to present your start-up project in front of a top-class jury and you can win valuable prizes.
The incubator is aimed at all Cyber Valley scientists. Ph.D. students of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) will receive 3 credit points upon successful completion of the course.
The incubator is planned as a 6-week program with a full-day on-site workshop once a week (10:00–18:00 CET). The individual dates will alternate between Stuttgart and Tübingen. There will be a shuttle bus for participants from the other location. If the pandemic does not allow an on-site event, the event will be held virtually. The dates of the workshops are:
To apply for the Cyber Valley Start-up Incubation Program, a CV and motivation letter is required. The motivation letter (approx. one page) should explain why the applicants are interested in the program and describe a problem of the applicants' research or their everyday life they would like to solve with a start-up. Ph.D. students also requiere written permission from their supervisor (e.g. via email) to participate in the six appointments.
The application deadline is on March 13, 2022. Please send your CV, the motivation letter and the permission from your supervisor to email@example.com.
The program is offered in English.
Please contact Tobias Dürr if you have any questions.
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photo credit https://cyber-valley.de/ - in-text image