To promote outstanding and promising graduates in digitisation research, the bidt offers a Bavaria-wide doctoral programme.
This doctoral programme is open to all graduates who are aiming to study for their doctorates in Bavaria at universities or universities of applied sciences.
The bidt is currently supporting 20 excellent doctoral candidates at a Bavarian state university who are pursuing a pioneering research project in a relevant field of digitisation.
No new doctoral students are currently being admitted.
The bidt doctoral programme offers
- the financing of one post under TV-L E13 (100%) for up to three years
- participation in various further training courses, for example on methodological and subject-specific key competences
- interdisciplinary exchange with scientists from the bidt research projects
- networking in connection with activities of the bidt’s various research projects, which display content proximity to the respective doctorate topics
- opportunities not only for effective public presentation of the doctoral project but also for networking and forming alliances with representatives from science and industry
- participation in events linked with the bidt doctoral programme
- participation in events on key digitisation issues
- if required, there are travel scholarships for international cooperation projects and for networking and professional exchange with the international Scientific Community
Digital start-ups and rural regions
Jane Wuth – Technical University Deggendorf/ University of Regensburg/ BayWISS-Kolleg Economy
Production of a 3-D tissue model for the examination and targeted simulation of cell migration and cell growth along E-modulus gradients of the extracellular matrix
Amelie Erben – Technical University of Munich/ University of Applied Sciences Munich/ BayWISS-Kolleg Ressource Efficiency and Materials
Image-based early detection of Barrett’s oesophagus with semi-monitored learning
Robert Mendel – University of Regensburg/ East Bavarian Technical University Regensburg/ BayWISS-Kolleg Health
Secure lightweight authenticated encryption for critical infrastructures in the Internet of Things
Sebastian Renner – East Bavarian Technical University Regensburg/ Technical University of Munich/ BayWISS-Kolleg Digitalisation
Digitalisation in the clinical environment using graph databases
Oliver Haas – Friedrich-Alexander-University Erlangen-Nuremberg/ East Bavarian Technical University Amberg-Weiden/ BayWISS-Kolleg Health
Realistic Modelling of blood in patient-specific digital models
Clemens Birkenmaier – University of Regensburg/ East Bavarian Technical University Regensburg/ BayWISS-Kolleg Health
Self-adapting online analysis of host-based safety-critical events in corporate networks of small and medium-sized enterprises
Sarah Wunderlich – Julius-Maximilians-University Wuerzburg/ University for Applied Sciences Coburg/ BayWISS-Kolleg Digitalisation
Other promotion programmes