Mastering Complexity beyond Human Cognition

Linköping University

Application deadline:
30 January, 2020


The PhD position have the following focus:

AI for a better society – Mastering Complexity beyond Human Cognition

This PhD project specifically focuses on how the implementation of AI based on data and models results in emerging systems behaviors and an increasing freedom to create functions that were not foreseen at the time of system design (i.e. generativity). Within this context, the project focuses on system design approaches and representation logics in order to master complexity that is beyond human cognition.


Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

Through the activities in research, the Department of Management and Engineering (IEI) provides education in a wide range of fields, from economy and management to design and technology. As one of the university’s largest departments, our strength is the education and research that support and benefit each other. Our mission is to encourage innovation and development through which we develop dedicated, innovative student who can improve the world. We have strong links within the corporate and other sectors, which facilitates the employability of our graduates and the application of our research.



Hereby advertises two positions as

PhD student in Industrial Engineering and Management with Specialization in Industrial Management based at the division of Project, Innovation and Entrepreneurship, (PIE) and within WASP-HS Graduate School.

These PhD positions are part of the Wallenberg AI, Autonomous Systems and Software Program on Humanities and Society (WASP-HS). WASP-HS aims to realize excellent research and develop competence on the consequences and challenges of artificial intelligence and autonomous systems for the individual person and society. This 10-year program is initiated and generously funded by the Marianne and Marcus Wallenberg Foundation (MMW) with 660 million SEK. In addition to this, the program receives support from collaborating industry and from participating universities.

WASP-HS includes an extensive national graduate school with up to 70 doctoral students, the creation of least ten new research groups across Sweden, support for twelve visiting professors to strengthen Swedish research and networking activities, and a number of research projects. For more information about the research and other activities conducted within WASP-HS, please visit

The WASP-HS graduate school provides foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD students, researchers and practitioners in the field. It thus provides added value on top of the existing PhD programs at the partner universities, providing unique opportunities for students who are dedicated to achieving international research excellence with societal relevance.


As a PhD student you can work with teaching and administration tasks up to 20 percent of full time, the remaining part will be devoted to your own research and research education. As a PhD student, you will take responsibility for conducting theoretical and empirical studies in consultation with your supervisors.

The current position is connected to a research group investigating purpose driven management for the development towards more complex and intelligent systems. The research group works in a research ecosystem in close collaboration with national and international research colleagues in management as well as associated areas of technology, industrial companies in the system building industry and actors in the public sector.

The way we approach complex intelligent systems will affect our ability to benefit from AI as well as avoiding negative consequences. AI is thus much more than technology and in order to achieve the societal benefits, a new understanding of the managerial approaches for designing complex intelligent systems is required. A purpose driven approach is suggested, i.e. including expanded purposes beyond economic exchanges, e.g. related to safety and sustainability.