Research laboratories at the Faculty of Computer and Information Science are always open for enthusiastic students. To know more about reasearch in a specific laboratory, feel free to contact them. Current open research positions are listed bellow.




Artificial Intelligence Laboratory:

Research field: ​AI, medicine

Type of work: researcher

About: The use of artificial intelligence approaches in the field of medicine is one of the primary research directions of the Artificial Intelligence Laboratory. We focus mainly on chronic diseases, such as neurodegenerative diseases, cancer, psychiatric diseases, etc. For these diseases, early detection and effective monitoring and (self-)control of the disease is very important. In the real world, specialists often do not have the opportunity to regularly monitor the patient to the desired or necessary extent, which can lead to faster disease progression. The use of modern ICT (which also includes the use of various sensors) in conjunction with artificial intelligence can be of great help for screening, early detection, objective monitoring, and control of the disease. This in turn means reduced treatment costs and a better quality of life for patients. When implementing artificial intelligence methods, the technical side is not the only important aspect; it is also necessary to ensure that users (doctors, patients) will trust in the solution both from the technical perspective and from the privacy protection and ethics point of view. In this regard, the emphasis will be on the trustworthy AI paradigm as well as on explainable artificial intelligence (XAI) methods. We cooperate with a number of national and foreign research organisations (UKC Ljubljana, Belgium: KU Leuven, Australia: UNSW, Germany: Charité Berlin, Netherlands: Radboud UMC, Italy: Politecnico di Torino, Universita di Pavia, Spain: Universidad de Cádiz, INIBICA, Sweden: Örebro University, etc.), which will enable the candidate international cooperation. The candidate is expected to have excellent knowledge of English language, knowledge of machine learning methods, knowledge of software development, the ability to independently organise work and high level of motivation and consistency.

Contact: Aleksander Sadikov (


Computer Structures and Systems Laboratory:

Research field: ​Computational approaches for the analysis of rhythmic datasets and their application to biological, environmental and traffic data

Type of work: employment on the project

Duration of employment: expected from 1 July 2022 to 1 July 2025

Additional requirements: joy of interdisciplinary work


Research field: Computational approaches for the reconstruction and analysis of context-specific models for systems medicine and systems biology applications

Type of work: teaching assistant

Duration of employment: expected from 1 October 2022 to 1 October 2025

Additional requirements: to be able to complement the research work with teaching, MSc of computer and information science or related fields

Contact: Miha Moškon (


Visual Cognitive Systems Laboratory:

Research field: Data-driven learning-based machine vision

Type of work: research position

Duration of employment: expected for three years, suitable for a doctoral student

Contact: Danijel Skočaj (


Laboratory for Adaptive Systems and Parallel Processing

Research field: High-Performance Computing, Parallel programming, CPU Architecture, Hardware-software co-desig

Type of work: researcher, teaching assistant, doctoral student

Duration of employment: Q4 2022 - Q3 2025

Additional information: Large scientific projects, such as the high-energy physics experiments at the Large Hadron Collider or Cherenkov Telescope Array and other astrophysical observatories, rely on unprecedented measurements, allowing for discoveries in physics. Most simulation and data-analysis tools traditionally exploit trivial parallelism. However, the evolution of computing architectures with fast GPU and FPGA accelerators and advances in CPU architecture dictates a different approach to algorithm design of the core software, focusing on specific elements at a fine-level granularity. More in the attachment.

Contact: Branko Šter (


Laboratory for Integration of Information Systems

Research field: cloud-native architecture development

Type of work: researcher - doctoral student

Additional information: If you are interested in gaining in-depth knowledge in the field of cloud-native architectures, microservices and serverless, while actively researching European research projects H2020, we invite you to participate. The student will be included in the EU H2020 XFlex project, the laboratory covers tuition fees for doctoral studies. We also invite senior students to participate.

Contact: Matjaž Jurič (


Visual Computing Center at KAUST (collaboration with UL FRI)

Research field: Computer Graphics and/or Visualization empowered by machine learning

Type of work: researcher - double degree doctoral student

Additional information: For students interested in Computer Graphics and/or Visualization, there is an opportunity for a double degree Ph.D. study offered by the University of Ljubljana Faculty of Computer and Information Science (UL FRI) in collaboration with the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. There are 2 enrollment places available. For more information visit link.

Contact: Ciril Bohak (