Department of Information Technology


Research at the Division of Scientific Computing has a broad scope, ranging from numerical analysis over software development and high-performance computing to collaborative projects in Computational Science and Engineering, and industrial applications. Visit the Division for Scientific Computing.

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.


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.


Mathematical optimization consists of theories, models, and methods for formulating and solving optimization problems that arise in a wide spectrum of applications. Coordinator Di Yuan and the researchers collaborating within the optimization arena are working to bring "the science of doing better" to real-life applications.


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. The arena is located at the Department of Information Technology at Uppsala University and is headed by Lisa Kaati.

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.

Mats Daniels, senior lecturer at the Department of Information Technology, is is interviewed in the latest issue of the SIGCSE bulletin in conjunction with him earning the SIGCSE Award for Lifetime Service to the Computer Science Education Community. Read the complete interview here (pages 11-14).

Carolina Wählby, who was recently awarded 29 million kronor from the Foundation for Strategic Research in the area of "Big Data and Computational Science," for the project “Hierarchical Analysis of Temporal and Spatial Image Data,” is interviewed in the latest issue of Perspectives. Read the interview here.

Ginevra Castellano features in the latest issue of Elle Magazine, where she talks about her research and the Social Robotics Lab. Read the interview here (in Swedish only).

David Black-Schaffer is interviewed in the latest issue of the newsletter from the Faculty of Science and Technology in conjunction with being awarded an ERC Starting Grant. Read the interview here.

Bengt Sandblad is interviewed in the magazine Vårdfokus in an article concerning new government regulations of work environment and their consequences for our digital working life. Read the article here (in Swedish only).


Updated  2017-06-19 10:48:52 by Marcus Björk.