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.
 
 

JOB ANNOUNCEMENTS

 

Open call for the position: University teacher in the field of computer and information science

 

Faculty of Computer and Information Science, Večna pot 113, Ljubljana, Slovenia, published an Open call for a vacant post: University Teacher in the field of computer science and information.

 

  1. Employment for:
    • an indefinite period with full-time work (100%) (1 vacant post) AND/OR
    • an indefinite period with shorter working hours (50% or 20 hours per week) (3 vacant posts) AND/OR
    • an indefinite period with shorter working hours (25% or 10 hours per week) (6 vacant posts).

 

  1. Vacant post:
  • the selected candidate will be employed in the workpost of »University Teacher – Assistant Professor (D019008) OR » University Teacher – Associate Professor« (D019007) OR » University Teacher –Professor« (D019006), depending on acquired education;
  • stating the desired employment share in the application, the candidate will be employed full-time or with shorter working hours for an indefinite period.

 

  1. Conditions applicable to all vacant posts:
  1. required education:
  • PhD degree (previous one) in computer science, information systems and technologies or relevant technical disciplines,
  • PhD degree (third Bologna cycle) in computer science, information systems and technologies or relevant technical disciplines;
  1. valid habilitation title of assistant professor/associate professor/professor or guest teacher:

If the candidate does not meet none of the above requirements, but meets the minimal quantitative and qualitative criteria for the appointment to the title, the candidate has to enclose a statement that he/she agrees with the employment application to be also considered as an application for election to or recognition of the title;

  1. knowledge of Slovenian language on B2 level (CEFR). If the selected candidate does not comply with this condition, it must be fulfilled at the latest in three years after the assumption of duties;
  2. functional skills: rhetorical skills, innovation skills, organizational abilities for one’s own work and the work of co-workers.

 

  1. Short job description:
  • design and update of curriculum and adaptation of study programs to university and higher education rules,
  • organization and co-organization of all activities relevant to the execution of study courses in accordance with curricula and developments in the professional field, coordination of work and supervision of the work of other course collaborators (assistants, technical and other staff),
  • performance of course lectures, seminars and other educational activities within study programs,
  • guidance in, evaluation and correction of tests and exams,
  • mentoring students in their seminar papers, diploma theses and other works,
  • participation in other education activities in the professional field (nostrification, etc.),
  • scientific research work, study and development of concepts, theories and methods,
  • care for safe and healthy work of the employees and students in the unit, their adequate education and training of people who come in contact with dangerous substances regarding personal protection equipment and other safety measures,
  • performing other tasks falling within the wider professional field of the workplace.

 

  1. Date of publication: 9 January 2026
  2. Application deadline: 10 March 2026

 

  1. Application:

 

Candidates shall submit:

  1. their CV,
  2. bibliography (if it is not yet registered into COBISS),
  3. a copy of the habilitation decision or a statement that the candidate agrees to have their application viewed as application for the election to a title or recognition of their title in accordance with the Criteria for the Election to UL Higher Education Teachers, Research Associates and Colleagues,
  4. two recommendation letters (authors of these letters shall send them directly to the HR department’s email),
  5. a short vision of their work at FRI,
  6. a description of their competences in fields where they will perform pedagogical and research work.

 

Candidates submit their application with required documentation to kadrovska@fri.uni-lj.si, adding »VU – rank_Name Surname«. They shall state the desired employment share.

 

The University of Ljubljana promotes gender equality in employment and work. The employment contract will be concluded with a candidate who meets the requirements for the position.

 

The University of Ljubljana, Faculty of Computer and Information Science, reserves the right, in accordance with contractual freedom under Article 24 of the Employment Relationships Act (ZDR-1), not to select a candidate even if they meet the requirements. The Faculty also reserves the right not to fill all advertised positions.

 

Contact person at the Faculty:

HR department

e-mail: kadrovska@fri.uni-lj.si

 

RESEARCH ANd ASSISTANT POSITIONS

 

The Faculty of Computer and Information Science is creating new researcher positions in the context of calls for research projects, and will also be recruiting teaching assistants in the new academic year.

Most of them require a degree in a relevant professional field (mainly computer science and informatics, but also other technical and natural sciences). These positions are particularly suitable for those who are pursuing a doctorate - as the tuition fees (partly or fully) are covered by the faculty or the research laboratory, and the performance of the post is also partly adjusted to accommodate the workload.

If you are interested in participating, please get in touch with the contact persons below as soon as possible.

 

Laboratory for Data Technologies

Open positions: 2-3, research or peda

Type of work: We have teaching and research needs in the laboratory. So, any combination is possible.

Research field:

Laboratory for Data Technologies holds some larger EU projects from the fields:

- LLMs4EU (members of the 40 mio EU project with 60 partners for developing EU language technologies, supported by the EU Commission through Alliance for Language Technologies EDIC),
- AI Factories (project to build AI tools for industry, preparation and education of enterprises),
- projects with industry (Telekom Slovenije, Courts, Healthcare centres and hospitals …)

Specific fields:

- natural language processing: fine-tuning of LLMs for specific domains (e.g., law, medicine, linguistics), information systems optimization using smart agents, development of a Web platform for LLMs delivery, their descriptions, evaluation, usage, …

- speech technologies and multimodal systems: speech recognition and synthesis for Slovenian and other languages, usage of multimodal systems for end-to-end smart agents development (sound, text, image), …

- MLOps and supercomputing: scaling of AI services, development and monitoring AI models in industry, abiding to regulatory changes, ethics, standards and accessibility, ...

Additional requirements: Applicants may be foreign nationals. It is important that they have a previous degree in computer science and information technology (preferably: software engieering and/or AI/NLP).

Contact person: Prof. Dr. Marko Bajec (marko.bajec@fri.uni-lj.si), Assoc. Prof. Dr. Slavko Žitnik (slavko.zitnik@fri.uni-lj.si)

 

Laboratory for Algorithmics

Open positions: 1

Type of work: research position on a project in industry, various research-teaching combinations possible.

Duration: long-term cooperation possible.

Research area: Extraction of structural information from text using LLMs and their analysis with Formal methods tools. The goal si to obtain a formal description of the text (objects, sets, relations, functions, graphs, propositional, or predicate calculus, etc.), and then perform various analyses on it (detecting logical fallacies, checking consistency, completeness, correctness, etc.). A passion for discrete mathematics, logic, programming, and proficiency in using LLMs is desired.

Contact: Assoc. Prof. Dr. Jurij Mihelič (jurij.mihelic@fri.uni-lj.si)

 

Machine Learning and Language Technologies Lab

Open positions: 3
Type of Work: researcher, doctoral student

Duration: at least 3 years

Research areas: natural language processing, machine learning, large language models

Prerequisites: programming skills, knowledge and interest in language technologies, machine learning, statistics

Contact: prof. dr. Marko Robnik-Šikonja (Marko.Robnik@fri.uni-lj.si )

 

Open positions: 1

Duration: 3+1 years

Research area: Quantum computing

Type of work: development of new quantum algorithms, application of machine learning to the simulation of quantum systems, application of quantum models to machine learning problems

Additional requirements: good knowledge of linear algebra, probability theory and practice with deep neural network programming. More information at qmltn.ai.

Contact: Assoc. Prof. Dr. Bojan Žunkovič (bojan.zunkovic@fri.uni-lj.si)

 

Laboratory for Integration of Information Systems

Open positions: 2

Type of work: doctoral student - researcher

Research area: cloud-native computing, research group on innovative cloud solutions:

  1. Kubernetes and scaling in the edge-fog-cloud continuum: You will explore the optimization of Kubernetes application scaling in a complex environment spanning from edge devices to the cloud. The focus will be on using advanced monitoring techniques, classification, and implementing artificial intelligence algorithms for intelligent scaling.
  2. API-AI: Using Artificial Intelligence for API and Business Event Integration: In this project, you will focus on developing innovative solutions to facilitate the discovery and integration of APIs and event streaming platforms in microservice and serverless architectures. We will explore the use of Large Language Models (LLMs) to simplify the complexities of integration processes.

Kontakt: prof. dr. Matjaž Jurič (matjaz.juric@fri.uni-lj.si)

 

Visual Cognitive Systems Laboratory

Open positions: 1

Type of work: researcher, doctoral student

Duration: 3 years

Research area: computer vision, remote sensing

Additional requirements: knowledge of deep learning and classical self-learning (self-initiative, curiosity, teachability), preferably also prior knowledge of GIS tools.

Contact: Assist. Prof. Dr. Luka Čehovin Zajc (luka.cehovin@fri.uni-lj.si)

 

Open positions: 1

Type of work: researcher, doctoral student

Research area: surface anomaly detection

Contact: Prof. Dr. Danijel Skočaj (danijel.skocaj@fri.uni-lj.si)

 

Open positions: 1

Type of work: researcher, doctoral student

Research area: Deep learning for extreme weather events predictions (e.g., floods)

Additional requirements: Experience with deep learning

Contact: prof. dr. Matej Kristan (matej.kristan@fri.uni-lj.si)

 

Biolab

Open positions: 2
Type of work:
Our lab has both teaching and research needs. We invite candidates who are interested in working as researchers and who are also willing to contribute to teaching as assistants in courses related to machine learning, programming, or bioinformatics.

Research focus: Biolab specializes in the development of machine learning methods, data visualization, and interactive tools for data analytics. Our core areas include explainable artificial intelligence, the use of foundation models in biomedicine, data integration, and the development of open-source software. The lab is the developer of Orange, one of the most recognized tools for visual programming in data science, and is actively involved in numerous educational and research projects both nationally and internationally.

Specific research areas:

  • Building research chatbots for the biomedical domain that can successfully integrate information from textual sources, experimental data (e.g., tables or measurement arrays), and models (quantitative or predictive machine learning models).
  • Time-series analysis using deep learning, with an emphasis on interpretability.
  • Explainable AI in molecular biology: development of foundation models capable of identifying biomarkers, classifying phenotypes, analyzing gene interactions, and gene sequence analysis.
  • Visual programming and educational platforms: development of the Orange system for the web and supercomputer Vega 2, focusing on integration with domain-specific foundation models (e.g., biology and chemistry) and enhancing data explainability with large language models.

Additional requirements: A background in computer science is preferred, especially in machine learning, bioinformatics, or software development.

What we offer:

  • Work in an internationally recognized research group with outstanding scientific achievements.
  • Opportunity to engage in research in cutting-edge areas such as machine learning, artificial intelligence, and bioinformatics.
  • Participation in the development of open-source tools like Orange and their application in research and education.
  • Chance to co-create and deliver modern educational content and participate in international projects.
  • Flexible working environment, support for research development, and the possibility of long-term collaboration.
  • Access to modern computing infrastructure, including supercomputers.

Contact: Prof. Dr. Blaž Zupan (blaz.zupan@fri.uni-lj.si)