DFG-funded Priority Programmes

DFG Priority Programmes at TU Darmstadt

Priority programmes promote supra-regional collaboration in research. Photo: SPP 1613
Priority programmes promote supra-regional collaboration in research. Photo: SPP 1613

The funding instrument “Priority Programme” (SPP) of the German Research Foundation (DFG) promotes nationwide collaboration between scientists. Priority Programmes are designed to give clear impetus to the advancement of research through the coordinated, multi-location funding of important new topics. Special characteristics of the Priority Programmes thus include the achievement of new levels of quality in terms of the topics, the collaboration or the methodology, creating added value through collaboration between different disciplines (interdisciplinarity) and the development of networks.

You will find all of the Priority Programmes that are coordinated by scientists at TU Darmstadt in the following list.

Information on the application process and on the format of the priority programmes can be found on the DFG website.


DFG Priority Programmes

Number Title Coordinator
1857 ESSENCE – Electromagnetic Sensors for Life Sciences Prof. Dr.-Ing. Rolf Jakoby
Institut for Microwave Engineering
Department of Electrical Engineering and Information Technology
1640 Joining by Plastic Deformation Prof. Dr.-Ing. Dipl.-Wirtsch.-Inf. Peter Groche
Institute for Production Engineering and Forming Machines
Department of Mechanical Engineering
1613 Fuels Produced Regeneratively Through Light-Driven Water Splitting: Clarification of the Elemental Processes Involved and Prospects for Implementation in Technological Concepts Prof. Dr. Wolfram Jaegermann
Research Group Surface Science
Department of Materials and Earth Sciences
1506 Transport Processes at Fluidic Interfaces Prof. Dr. Dieter Bothe
Center of Smart Interfaces
Department of Mechanical Engineering
1496 Reliably Secure Software Systems – RS3 Prof. Dr. Heiko Mantel
Modeling and Analysis of Information Systems
Department of Computer Science