Department of Information Technology


The Division for Systems and Control drives research and teaching in modelling, analysis, design, and control of dynamical systems, for effective use of control systems and signal processing. Visit the Division for Systems and Control.

Our Research Divisions

Scientific Computing

Research at the Division of Scientific Computing has its roots in numerical analysis for partial differential equations. Today it also spans mathematical modeling, algorithms, analysis, software development, high-performance computing and computational models for data analysis based on observations in many different application areas.

Computing Science

Research at the Computing Science Division aims to make the construction, programming, verification and use of computers simpler, more reliable and more efficient. We develop methods, languages and tools and are active in both applied and theoretical research.

Computer Systems

Research at Computer Systems concerns development of new and better computer systems, such as computer networks, parallel computer architectures, and embedded systems, spanning specification, verification, and evaluation, as well as experimental systems development.

Systems and Control

Our world depends on reliable control systems and the efficient extraction of information from measured signals and datasets. The Division for Systems and Control researches and teaches the modelling, analysis, and design of dynamical systems in order to advance these areas.

Visual Information and Interaction

The Division of Visual Information and Interaction houses a unique combination of expertise in computerized image analysis and human-computer interaction. Mathematics, psychology, and robotics is united in research into theory as well as for a vast array of applications.

Research Centers

Research centres are structured, long-term collaborations in strategically important areas. The Department of Information Technology currently hosts a number of important research centres:

  • The Centre for Image Analysis (CBA) has since the 1980s developed theory and methods of computerized image analysis and applied them in important societal areas such as medicine and environment.
  • eSSENCE is the e-science collaboration for development of computational methods, tools, and software for simulation and data science in physics, chemistry, biology, engineering, social science, and the humanities.
  • HEdCom is a collaborative research nexus for research groups in disciplinary didactics for higher education at Uppsala University.
  • The program office for the strategic innovation program Internet of Things is located at the Department of Information Technology.
  • UPMARC (Uppsala Programming for Multicore Architectures Research Center) develops insights in parallel programming to demonstrate their effectiveness through prototype implementations on real problems.
  • The department hosts UPPMAX (Uppsala Multidisciplinary Center for Advanced Computational Science), which is Uppsala University's center for high performance computing.

See this list of research centers hosted at the department in the past.


Research Arenas

Research Arenas bring together researchers from different divisions who share a common interest, facilitating easy collaboration without requiring additional administrative units. Read more about how our research arenas function.

Applied Optimisation

Applied optimisation deals with theories, models, and methods for formulating and solving optimisation problems that arise in a wide spectrum of applications. The researchers collaborating within the applied optimisation arena are working to bring the science of doing better to real-life applications.


Information technology is an indispensable part of modern (bio)medicine. Computer systems as well as various computational methods play essential roles in healthcare diagnosis, treatment, and care, as well as in medical research. The BiomedIT research arena facilitates and presents research collaborations in this area across all five divisions of Department of Information Technology.

Machine Learning

Machine Learning is about making predictions based on past experience. The Machine Learning Arena at the Department of Information Technology is situated at the intersection of computation and algorithms research, theoretical insights in learning and inference, and case studies of learning and pattern recognition in various fields.


The Security arena is a research group working in the domain of security informatics using techniques from computational linguistics, machine learning, visualization, artificial intelligence as well as ethical and philosophical views on security.

Smart City

Modern society faces many critical challenges, including pollution, energy consumption, waste, transportation, and healthcare. The Smart City Arena brings together researchers from different divisions to create a multidisciplinary initiative focusing on IT for smart society. We collaborate with governments and industries to address critical challenges in smart cities, sustainable development, and to improve quality of life.

Postgraduate Studies

Are you interested in Postgraduate Studies? Our Ph.D students receive training of the high standard possible and our Ph.D. programme is structured to prepare all our students for positions at the best universities, nationally and internationally, in industry, public agencies, and society in general.

Two degrees at different levels of research are awarded at the Faculty of Science and Technology: Doctor of Philosophy in Science and Licentiate of Science. Postgraduate training is at the highest level of the education system. 

All our Ph.D. students are paid employees at the Department of Information Technology at Uppsala University. The position is for a maximum of five years and includes research at 80% and departmental duties (mainly teaching) at a level of at most 20%.

Find your Ph.D. Programme

Researcher Profiles

NUMEROUS SOLUTIONS TO PHYSICAL PROBLEMS: "Theoretical algorithms should be of practical use."

The Department of Information Technology facilitates research into an immeasurable number of exciting questions and areas, covering a wide range of areas and methods for applying computers and data analysis in a variety of scientific and educational contexts. Our researchers simultaneously conduct individual inquires and drive collaborative projects with links to applications in a diverse spectrum of fields such as Engineering, Biology, Medicine, Economy and Psychology.

With these researcher profiles we invite you to get to know a few of the fantastic individuals behind that research.

IT@UU in the Press

Here we present the latest articles and press notices concerning the research at the Department of Information Technology. The department's press archive can be found here.

Thomas Schön, Professor of Automatic Control at the Department of Information Technology, has been interviewed by the Swedish publication Dagens Media in their podcast "AI-Podden," where he discusses concepts sch as AI, machine learning and deep learning. Thomas tells us why AI is so hot today and draws parallels to the American space program Apollo, led by NASA to go to the moon. Listen to the interview here. (in Swedish only)

Thomas Schön, Professor of Automatic Control at the Department of Information Technology, is interviewed in the Teknat Newsletter for january 2018, regarding the research environment "NewLEADS," jointly created by researchers at Uppsala University and KTH. Read the interview here.

Di Yuan, Professor of Optimisation at the Computer Science division of the Department of Information Technology, is featured in an article at regarding sensors to make waste management more climate-friendly. Read the article here.

Alexandra Jimborean, associate senior lecturer at the Department of Information Technology, Division of Computer Systems, is featured in this month’s newsletter from Association for Computing Machinery (AMC), the world's largest educational and scientific computing society. Read the interview here.

Carolina Wählby, professor at Department of Information Technology, Division of Visual Information and Interaction, is interviewed in the newsletter from the Faculty of Science and Technology for December 2017 regarding the successful workshop on Digital Pathology held this past November. Read the interview here.


Updated  2018-02-09 11:59:55 by Peter Waites.