KTH Royal Institute of Technology

Address: Street BRINELLVAGEN 8
Postcode 100 44
Country Sweden

KTH Royal Institute of Technology

KTH in Stockholm is the largest, oldest and most international technical university in Sweden, and frequently ranked as one of the 10 leading European Technical Universities. Education and research spans from natural sciences to all the branches of engineering and includes architecture, industrial management and urban planning. KTH is organized in 10 schools; Multidisciplinary Centres provide cross school collaboration and with external stakeholders. KTH is particularly strong in Cyber-Physical Systems, as manifested by its research centers on Autonomous systems, Control and Communications, Embedded systems, and in various application related domains such as transportation, health and manufacturing. KTH has set up strategic collaboration partnerships with industry such as ABB, Ericsson, SAAB, Sandvik and Scania, and with public bodies such as Stockholm city and Stockholm community council. KTH is a partner in EIT Digital, one of the European Knowledge and Innovation Communities, in the ARTEMIS Industrial Association and ECSEL. KTH is represented in the consortium through the following two groups:

  • Mechatronics and Embedded Control Systems with expertise in CPS, systems engineering and CPS eco-
  • Integrated Product Development, with expertise in innovation, management and organization for product

Both groups are part of the school of Industrial engineering and management and strategically positioned in an
innovation environment consisting of:

  • National Strategic Innovation Programs (funded by Vinnova), including Intelligent transportation systems, Smart Electronics, the Internet of Things, and Produktion2030.
  • Innovation supporting organizations, including KTH Innovation, STING, THINGS and EIT Digital.
  • The Wallenberg Autonomous Systems Program (WASP) initiative on autonomous systems in which KTH is strongly involved. WASP focuses on the underlying necessary technologies and design methodologies of autonomous systems.
  • INCOSE and SwedSoft as networks in systems and software engineering.