Doctoral studies at the Department of Computer and Information Science (IDA) are organised to cross traditional subject boundaries, and is common to the whole department.

The basic principle is that each doctoral student carries out thesis work within the laboratory (i.e. the research group) to which he or she belongs. Courses that are part of the doctoral education should consist of a number of courses selected from the range offered by the department, including master’s courses.

Where appropriate, courses can also be selected from those offered by other departments. Within the department, doctoral education is available not only within its core subjects in the Faculty of Science and Engineering (computer science, computer systems), but also within an increasing number of interdisciplinary fields of which the subjects computer science or computer systems are components.

The availability of several paths of doctoral education with individual study plans reflects both the possibility of specialisation of field of study and thesis work, and the different compositions of prior knowledge that these interdisciplinary fields require.

The doctoral education common throughout IDA is organised under a director of studies for doctoral education and an office of doctoral education. A considerable part of the doctoral education is conducted within the framework of several graduate schools.

The Department of Computer and Information Science offers doctoral education within the following fields:

Doctoral studentships

PhD student positions at IDA are announced here. Note that some posts may be announced only in one language – either on the Swedish or the English page.

PhD courses

PhD courses at IDA are listed here.

More information

Contact the director of doctoral studies, Zebo Peng, forskarstudierektor@ida.liu.se, for more information about the various research areas covered by the department.

Contact the coordinator for doctoral education, Anne Moe, anne.moe@liu.se, for information about doctoral education.

For general information about doctoral studies and how to become a doctoral student, please visit the page doctoral studies.

Four subject areas at IDA

What is it like to be a PhD student at IDA?

Woman sitting at desk with flowers and laptop during dissertation

New doctor in Computer Science: Klervie Toczé

On October 4, Klervie Toczé, Dept of Computer and Information Science, defended her thesis on the use of computing resources and sustainability in edge computing. Now she has moved to Amsterdam for a postdoc in sustainable urban gardening.

computer screen on which it is written

New PhD thesis in Computer Science about social media interactions

In June, Alireza Mohammadinodooshan at the Department of Computer and Information Science (IDA) successfully defended his thesis on understanding user engagement with news on social media platforms.

image cut from thesis cover

A new doctor in Computer Science: George Osipov

On the 3rd of June, George Osipov successfully defended his thesis in the intersection of theoretical computer science and artificial intelligence (AI), with a focus on parameterized complexity of constraint satisfaction problems (CSPs).

Calendar of theses defences and list of recent theses at IDA

List of recent theses

2024

Kajsa Weibull (2024) Emergency Vehicle Approaching: Warning Drivers Using Cooperative Intelligent Transport Systems
Robert Johansson (2024) Empirical Studies in Machine Psychology
Amanda Olmin (2024) Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning
Klervie Toczé (2024) Orchestrating a Resource-aware Edge
Sofia Thunberg (2024) Companion Robots for Older Adults: A Mixed-Methods Approach to Deployments in Care Homes
Le Minh-Ha (2024) Beyond Recognition: Privacy Protections in a Surveilled World
Alireza Mohammadinodooshan (2024) Data-driven Contributions to Understanding User Engagement Dynamics on Social Media
Rodrigo Saar de Moraes (2024) Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations: Topology Generation, Resource Adequacy, and Dependability
George Osipov (2024) On Infinite-Domain CSPs Parameterized by Solution Cost
Fredrik Präntare (2024) Dividing the Indivisible: Algorithms, Empirical Advances, and Complexity Results for Value-Maximizing Combinatorial Assignment Problems
Jenny Kunz (2024) Understanding Large Language Models: Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation
Woodrow Hao Chi Kiang (2024) Uncertainty Estimation in Models of Multivariate Trait Evolution on Given Phylogenies
Sijin Cheng (2024) Query Processing over Heterogeneous Federations of Graph Data

2023

Filip Strömbäck (2023) Teaching and Learning Concurrent Programming in the Shared Memory Model
Mariusz Wzorek (2023) Selected Functionalities for Autonomous Intelligent Systems in Public Safety Scenarios

Contact

PhD student positions at IDA

Image of Building E, Campus Valla.
Department of Computer and Information Science Photographer: Fotograf Jonas Järmen

Check out our job openings and apply!

More about doctoral studies at LiU

About the department