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.
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.
Call for Young Researchers 2025
The Call for Young Researchers 2025 offers four positions with UL FRI mentors:
- Assist. Prof. Dr. Žiga Emeršič (biometrics, deep learning, computer vision),
- Assist. Prof. Dr. Vida Groznik (Artificial Intelligence),
- Prof. Dr. Matej Kristan (computer vision),
- Prof. Dr. Marko Robnik Šikonja (Technology, Computer and Information Science, Humanities, Social Sciences).
The descriptions of the research work of these mentors are available here, and the call documentation is available here.
The deadline for applications for Young Researchers is 15 May 2025 at 23.59.
Successful candidates for Young Researcher must be enrolled in a PhD programme in the academic year 2025/2026.
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:
- 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.
- 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)
JOB ANNOUNCEMENTS
Open Call for Postdoctoral Position in CoE AI4DH
Research fellow in Artificial Intelligence for Digital Humanities
We are opening a postdoctoral position in the European Centre of Excellence in Artificial Intelligence for Digital Humanities (AI4DH). The centre is funded by the EU’s Horizon Europe programme (ERA Chairs) at the University of Ljubljana (UL).
At the heart of the vibrant European capital city of Ljubljana, close to both the Alps and the Mediterranean, the European Centre of Excellence in AI4DH aims to
1) Develop top-level AI research that benefits social science and humanities research.
2) Provide support and services to enhance AI literacy among social science and humanities (SSH) scholars, and assist them in developing projects and project applications, particularly within Horizon Europe.
3) Develop related trainings and teaching in AI4DH.
Work assignments: In combination to research (the majority of your time), you will be expected to provide support for DH scholars around your area of expertise. You will be welcome to teach (optionally, for an additional fee)
We particularly seek candidates with demonstrated interdisciplinary experience or experience within the scope of digital humanities, including a background in social science and humanities (SSH) and/or computer science (CS), and in either case, strong technical experience. The ability to discuss and collaborate with experts from several disciplines will be essential.
Detailed description of work assignments:
- Independent state-of the art interdisciplinary research in the areas of artificial intelligence for digital humanities, such as natural language processing tools for historical newspaper analysis, producing semantic data and evaluation datasets from lexical resources, injecting knowledge into large language models, notably for digital humanities, data-driven folkloristics, explanation of generative large language models, social science analyses of news media in less-resourced languages
- Publishing your research in high-quality journals and collaboration
- Support for DH scholars around your area of expertise
- Problem solving, discussions, and collaborations with experts from several disciplines
- Preparing project applications at the intersection of AI and DH
- Participation in science communication, dissemination, and exploitation
The research work can, for instance, focus on one or more of the following areas:
- Natural language processing tools for historical newspaper analysis
- Comparative analysis of historical newspaper collections
- Producing semantics data and evaluation datasets from lexical resources
- Injecting knowledge into large language models, notably for digital humanities
- AI Infrastructure for data-driven folkloristics
- Explanation of generative large language models
- Tools for social science analyses of news media in less-resourced languages
- Other topics of your suggestion
Location: The work will take place at the University of Ljubljana, Faculty of Computer and Information Science. The faculty hosts over 150 researchers working in different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of EU EuroHPC supercomputer Vega 2 and Slovene AI Factory. Within the European Centre of Excellence in AI4DH, you will work closely with an international and interdisciplinary group of researchers from several UL Faculties (notably, from the Faculty of Arts and the Faculty of Social Sciences).
We offer:
- flexible working hours,
- funds for purchasing equipment,
- attending international events, such as conferences,
- a modern working environment,
- a parking space,
- great colleagues who are ready to help you when you need it,
- recreation at the workplace and apples,
- regular performance-based bonus (2 times per year),
- constructively solving challenges in professional dialogue and in team spirit,
- a chat over coffee with the faculty management,
- effective information provision at the workplace,
- participation in interesting, globally relevant scientific projects,
- cooperation with technologically advanced companies and the possibility of part-time/additional employment.
Start date: from 1 October 2025 (or a later date, upon agreement) to 31 October 2029
Context: European Centre of Excellence in Artificial Intelligence for Digital Humanities (AI4DH), EU-funded, https://cordis.europa.eu/project/id/101186647
Contacts: Antoine.Doucet@fri.uni-lj.si , Marko.Robnik@fri.uni-lj.si
Information sessions (short presentation and Q&A) will be held on 26 June at 2 pm CEST and 30 June 10:30 am CEST. Registrations for the information session should be made by sending an email to Antoine.Doucet@fri.uni-lj.si
Eligibility and requirements:
- PhD in computer science, social sciences or humanities, with a strong technical background
- Proven interdisciplinary experience and interest in digital humanities, in particular around the research areas listed above (e.g., computational linguistics, digital history, computational literary studies or related fields).
- Fluency in written and spoken English
- Proven record of high-level publications
Tentative timeline of the call:
- Application deadline: 24 July 2025, midnight CEST
- Interviews for selected candidates and final ranking: end of August, early September 2025
- Start date: from 1 October 2025, upon agreement
Documents required for applying:
- AI4DH application form (available here)
- Motivation letter, following the provided template (available here)
- An academic CV, following the provided template (available here)
- Original Ph.D. certificate in English, or in the original language with (non-certified) English translation
Optionally:
- up to 3 recommendation letters from senior researchers familiar with the applicant’s academic work.
- other material considered relevant by the candidate.
Where to apply:
All documents should be submitted by email in PDF format to kadrovska@fri.uni-lj.si with antoine.doucet@fri.uni-lj.si in CC, strictly with the subject line "AI4DH doctoral application Name Surname".
The University of Ljubljana, Faculty of Computer and Information Science (UL FRI), reserves the right, in accordance with the principle of contractual freedom under Article 24 of the Employment Relationships Act (ZDR-1), not to select a candidate even if they meet the stated requirements. UL FRI also reserves the right not to fill all advertised positions.
Open Call for PhD position in CoE AI4DH
Research fellow in Artificial Intelligence for Digital Humanities
We are opening two PhD positions in the European Centre of Excellence in Artificial Intelligence for Digital Humanities (AI4DH). The centre is funded by the EU’s Horizon Europe programme (ERA Chairs) at the University of Ljubljana (UL).
At the heart of the vibrant European capital city of Ljubljana, close to both the Alps and the Mediterranean, the European Centre of Excellence in AI4DH aims to
1) Develop top-level AI research that benefits social science and humanities research.
2) Provide support and services to enhance AI literacy among social science and humanities (SSH) scholars, and assist them in developing projects and project applications, particularly within Horizon Europe.
3) Develop related trainings and teaching in AI4DH.
Work assignments: In combination to research (most of your time), you will be expected to provide support for DH scholars around your area of expertise. You will be welcome to teach (optionally, for an additional fee).
We particularly seek candidates with an interest in interdisciplinary work or experience falling in the scope of digital humanities, both with a background in social science and humanities
(SSH) and/or in computer science (CS), and in either case, a strong technical background. The ability to discuss and collaborate with experts from several disciplines will be essential.
Detailed description of work assignments:
- Collaboration in the interdisciplinary research in the areas of artificial intelligence for digital humanities, such as natural language processing tools for historical newspaper analysis, producing semantic data and evaluation datasets from lexical resources, injecting knowledge into large language models, notably for digital humanities, data-driven folkloristics, explanation of generative large language models, social science analyses of news media in less-resourced languages
- Support for DH scholars around your area of expertise
- Problem solving, discussions, and collaborations with experts from several disciplines
- Regular fulfilment of obligations in the PhD study programme
The research work can, for instance, focus on one or more of the following areas:
- Natural language processing tools for historical newspaper analysis
- Comparative analysis of historical newspaper collections
- Producing semantics data and evaluation datasets from lexical resources
- Injecting knowledge into large language models, notably for digital humanities
- AI Infrastructure for data-driven folkloristics
- Explanation of generative large language models
- Tools for social science analyses of news media in less-resourced languages
- Other topics of your suggestion
Location: The work will take place at the University of Ljubljana, Faculty of Computer and Information Science. The faculty hosts over 150 researchers working in different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer Vega 2 and the Slovene AI Factory. Within the European Centre of Excellence in AI4DH, you will work closely with an international and interdisciplinary group of researchers from several UL Faculties (notably, from the Faculty of Arts and the Faculty of Social Sciences).
We offer:
- flexible working hours,
- funds for purchasing equipment,
- attending international events such as conferences,
- the tuition fee for the PhD study program in Computer Science at the University of Ljubljana
- a modern working environment,
- a parking space,
- great colleagues who are ready to help you when you need it,
- recreation at the workplace and apples,
- regular performance-based bonus (2 times per year),
- constructively solving challenges in professional dialogue and in team spirit,
- a chat over coffee with the faculty management,
- effective information provision at the workplace,
- participation in interesting, globally relevant scientific projects,
- cooperation with technologically advanced companies and the possibility of part-time/additional employment
Start date: from 1 October 2025 (or a later date, upon agreement) to 31 October 2027
Context: European Centre of Excellence in Artificial Intelligence for Digital Humanities (AI4DH), EU-funded, https://cordis.europa.eu/project/id/101186647
Contacts: Antoine.Doucet@fri.uni-lj.si , Marko.Robnik@fri.uni-lj.si
Information sessions (short presentation and Q&A) will be held on 26 June at 2 pm CEST and 30 June 10:30 am CEST. Registrations for the information session should be made by sending an email to Antoine.Doucet@fri.uni-lj.si
Eligibility and requirements:
- master's degree (2nd Bologna cycle) or specialisation after higher education (previous) or higher university education (previous) in computer science or SSH
- interest in digital humanities, in particular around the research areas listed above (e.g., computational linguistics, digital history, computational literary studies or related fields).
- Fluency in written and spoken English
Tentative timeline of the call:
- Application deadline: 24 July 2025, midnight CEST
- Interviews for selected candidates and final ranking: end of August, early September 2025
- Start date: from 1 October 2025, upon agreement
Documents required for applying:
- AI4DH application form (available here)
- Motivation letter, following the provided template (available here)
- An academic CV, following the provided template (available here)
- Original master's degree (or university diploma) in English, or in the original language with (non-certified) English translation
Optionally:
- up to 3 recommendation letters from senior researchers familiar with the applicant’s academic work.
- other material considered relevant by the candidate.
Where to apply:
All documents should be submitted by email in PDF format to kadrovska@fri.uni-lj.si with antoine.doucet@fri.uni-lj.si in CC, strictly with the subject line "AI4DH doctoral application Name Surname".
The University of Ljubljana, Faculty of Computer and Information Science (UL FRI), reserves the right, in accordance with the principle of contractual freedom under Article 24 of the Employment Relationships Act (ZDR-1), not to select a candidate even if they meet the stated requirements. UL FRI also reserves the right not to fill all advertised positions.