Phase 2


Our PhD graduate program is comprised of eleven projects aimed towards improving the cycle of value creation regarding composite materials and constructions in a resource-efficient way. A detailed description of each project as well as the corresponding contact information can be found on the webpages of the individual projects.

Project Department University
P1: Sociomaterial Constellations / Social Architecture STO (formerly TOS): Lehrstuhl für Technik- und Organisationssoziologie RWTH Aachen University
P2: Design of Sustainable and Circular Value Chains OM: Lehrstuhl für Operations Management RWTH Aachen University
P3: Integrated Assessment of Circular Business Models in Construction from the Three Sustainability Perspectives CON: Lehrstuhl für Controlling RWTH Aachen University
P4: Economic Incentives for the Apllication of Recyclable Composite Materials IW: Lehr- und Forschungsgebiet Internationale Wirtschaftsbeziehungen RWTH Aachen University
P5: Semi-finished Products from Recycled Carbon Fibers and Bio-based Materials for Material Composites in Construction ITA: Institut für Textiltechnik RWTH Aachen University
P6: Environmental Sustainability of Plastic Composites in Construction IBAC: Lehrstuhl für Baustoffkunde RWTH Aachen University
P7: Development of fiber-reinforced Constructions IuB: Institutsbereich für unterirdisches Bauen FH Münster
P8: Application of fiber-reinforced Constructions in Consideration of the Operation IWARU: Institut für Infrastruktur Wasser Ressourcen Umwelt FH Münster
P9: Lifecycle Approach for the Assessment of the Recycling Economy's Strategies for Composites in Construction ANTS (formerly I.A.R.): Institut für Anthropogene Stoffkreisläufe RWTH Aachen University
P10: Processing and Recycling of Post-consumer Layer-Bonding Waste IWARU: Institut für Infrastruktur Wasser Ressourcen Umwelt FH Münster
P11: Optimization of Thermal Processing of Fiber Composites TEER: Lehr- und Forschungsgebiet Technologie der Energierohstoffe RWTH Aachen University
P12: Circular Economy Business Models in Real Estate CON: Lehrstuhl für Controlling RWTH Aachen University