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Department of Information Technology


At the Computing Science Division, we develop theory and practice for programming and construction of software systems to make them reliable and efficient. Visit the Computing Science Division.

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.
  • 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.

Automated Reasoning

Automated reasoning focuses on making computer programs autonomous and reason logically, allowing computer programs to automatically find solutions for wide range of problems. The Automated Reasoning Arena will serve as a platform to promote multidisciplinary collaboration, coordinate research activities in this area, and make the research on automated reasoning more visible, within the university as well as externally.

Data Science

The objective of Data Science is to extract knowledge from data. To this aim, we develop and apply concepts and methods rooted in different disciplines (mathematics, statistics, computer science and data engineering) to tackle interdisciplinary data analysis problems.

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.

Cyber Security

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


"Architects of IT systems need to be better at taking into account the interaction between technology and society."

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.

Two IT startups are among the 33 best Swedish tech startups in 2021. Scaleout Systems and Stream Analyze Sweden, were recently included in the NyTeknik list on the 33 best tech startups in 2021. The startups that get included in this list typically has a combination of solid technical innovation and market potential.
Read about the two IT startups and the 31 others at (Swedish only)

The latest episode of the SR P1 program Filosofiska rummet is about Daniel Kahnemans book Brus and the IT department's Anders Arweström Jansson discusses the book together with Annika Wallin (associate professor of cognitive science) and Gustav Almqvist (PhD in business studies).
Only available in Swedish.
Humör och hunger styr våra beslut oftare än vi tror - About Daniel Kahnemans book: Brus

Wallenberg Academy Fellow Professor David Black-Schaffer wants to shift the focus of computer system performance from raw computations to more intelligently handling data - read the interview with David Black-Schaffer.
Smarter data handling is a game changer for computer performance

Pontus Ekberg at the IT department has been awarded the Oscars prize for his research on real-time calculations. "Through his research, Pontus Ekberg has highlighted the complexity of this type of system, and contributed with solutions to problems that have been unresolved for over 30 years", big congratulations!
Oscar award for real-time calculations

ENCCS is a new competence centre based at the IT department. The centre is developing a method to enable users to make optimal use of their software on European supercomputers, with IT researcher and ENCCS director Lilit Axner.
New competence centre to assist with large-scale data processing


Updated  2021-10-29 11:07:17 by Victor Kuismin.