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 for the year 2026

We offer seven open positions for those interested in research work and doctoral studies.

 

List of mentors:

  • Prof. dr. Danijel Skočaj (artificial intelligence, computer vision, deep learning)
  • Prof. dr. Peter Peer (artificial intelligence, computer vision, image biometrics)
  • Prof. dr. Erik Štrumbelj (artificial intelligence, conversational tools, cognition)
  • Prof. dr. Zoran Bosnić (artificial intelligence, hydrological modelling, water resource management)
  • Assoc. Prof. dr. Slavko Žitnik (artificial intelligence, language models, knowledge management, agent systems, semantic web)
  • Assoc. Prof. dr. Matevž Pesek (digital humanities, capture, processing and interpretation of digital materials)
  • Asst. Prof. dr Petar Kochovski (trust, privacy and explainability of artificial intelligence, distributed ledger technology)

 

Descriptions of the research work under the listed mentors are available at the provided link, documentation in English is available here.

 

The application deadline for young researcher candidates is 8 May 2026 at 23:59.

 

Computer Structures and Systems Laboratory

Quantum Computing

  • Research Area: Quantum Computing
  • Job description:
    • In-depth research work in the field of quantum computing models, quantum computing architectures, quantum algorithms, hybrid solutions for complex algorithms, and the development of methods and tools for programming and analyzing quantum computing systems.
    • The research will cover topics such as the development and analysis of quantum algorithms, programming specific quantum computers, developing hybrid solutions for complex algorithms, and applying quantum methods to solve challenging optimization and data problems in logistics for the needs of the project partner, Luka Koper.
  • Type of work: research work, doctoral studies
  • Employment duration: until October 30, 2030
  • Additional information and application procedure (in Slovene): in the attachment at the link
  • Contact person: Prof. dr. Miha Mraz (miha.mraz@fri.uni-lj.si)

 

Project-based employment (Integrative Urban Analytics for Sustainable, ESicient, and Liveable Cities)

  • Research area: integrative urban analytics and data-driven urban decision-making
  • About the Project:
    • Modern cities generate vast amounts of heterogeneous data—from governmental open records to mobility traces, environmental sensors, and citizen-generated information. Yet, despite their potential, these datasets often remain fragmented, underutilised, or incompatible across contexts.
    • You will contribute to the development of a scalable, modular, and transferable analytical framework that enables:
      • Systematic integration of diverse urban datasets
      • Advanced computational analytics for assessing urban eSiciency and sustainability
      • High-quality, evidence-based insights into mobility, energy, pollution, accessibility, and other cross-cutting indicators
      • Improved decision-support tools for urban planners and policymakersReproducible and transferable methods using open-source data, open repositories, and citizen-science input
      • The work spans the entire data pipeline—from acquisition and pre-processing to integration, analysis, reporting, and visualisation—and will be tested across multiple Slovenian and European pilot cities.
      • You will help shape future-ready tools for more sustainable, eSicient, and liveable cities.
  • Type of work: research
  • Contact person: Prof. dr. Miha Moškon (miha.moskon@fri.uni-lj.si)

 

Laboratory for Data Technologies

Project-based employment (LLMs4EU, SLAIF, KCUI)

  • Research area:
    • The data economy is becoming increasingly important, even beyond the fields of computer science and information technology. Agent systems are being introduced, the EU is implementing domain-specific data spaces, and aspects of security, ethics, and governance are becoming increasingly important. In connection with this, European AI factories are being established, which will be consolidated into the European AI Gigafactory, while competence centers ensure the coordination of individual stakeholders. The main topics the candidate will address will be automation and knowledge management, particularly technologies for advanced language models, agent systems, the Semantic Web, and the collaboration and commercialization of artificial intelligence systems for the economy
  • Type of work:
    • research and development work, workshop preparation, collaboration with companies
    • doctoral studies, depending on the candidate’s preference
    • Projects we are hiring for: Large Language Models for the EU (LLMs4EU), Slovenian Artificial Intelligence Factory (SLAIF), Competence Center for Artificial Intelligence (KCUI)
  • Employment duration: 3+ years
  • Contact person: Assoc. Prof. dr. Slavko Žitnik (slavko.zitnik@fri.uni-lj.si)

 

Young Researcher (mentor: Slavko Žitnik)

  • Research Area: The candidate will first gain an understanding of the broader field of natural language processing, review current challenges in the field, and familiarize themselves with the state-of-the-art approaches to specific problems. Based on this, a specific research topic will be identified. As an initial research topic, the candidate will be proposed the automatic construction, maintenance, updating, validation, and application of knowledge bases derived from texts (in combination with structured sources). Knowledge bases, through data unification and integration, enable the use of advanced context and semantic meaning through (neuro-)symbolic artificial intelligence. This highlights challenges not only in the construction of such bases but also in their application across different domains and in reasoning. In addition to the broader field of natural language processing, the candidate is expected to engage with closely related fields such as information retrieval, the Semantic Web, and databases.
  • Type of work: research work, doctoral studies
  • Duration of employment: 4 years
  • Advisor/contact person: Assoc. Prof. dr. Slavko Žitnik (slavko.zitnik@fri.uni-lj.si)

 

Young Researcher (mentor: Petar Kochovski)

  • Research Area: Things-to-Cloud continuum; explainable AI, Trustworthy and privacy preserving AI, Distributed Ledger Technologies (DLT), Stochastic decision making under uncertainty
  • Research focus: The young researcher will work at the intersection of Things-to-Cloud computing, Distributed Ledger Technologies, and Artificial Intelligence. This research field is of high strategic relevance due to the accelerated digital transformation of industry and public services, the widespread deployment of Internet of Things infrastructures, and the growing demand for cross border and federated AI solutions operating across heterogeneous computing environments. The primary research goal will be the development of solutions that extend beyond conventional federated learning and enable scalable AI data processing across heterogeneous infrastructures and jurisdictions.
  • Type of work: research work, doctoral studies
  • Duration of employment: 4 years

 

Computer Vision Laboratory

Young Researcher (mentor: Peter Peer)

  • Research area: image biometrics, computer vision
  • Type of work: full-time, research
  • Duration: 4 years
  • Additional requirements: The junior researcher is expected to have a solid understanding of the fundamentals of computer science, programming, and artificial intelligence, as well as proficiency in English, initiative, critical thinking, and the ability to work in a team.
  • Contact person: Prof. dr. Peter Peer (peter.peer@fri.uni-lj.si)

 

Laboratory for Machine Learning and Language Technologies

Project-based employment (ELEXAI, AI4DH)

  • Research areas: natural language processing, machine learning, large language models
  • Type of work: researcher, PhD student
  • Duration: at least 3 years
  • Prerequisites: programming skills, knowledge and interest in language technologies, machine learning, statistics; the research in EU projects ELEXAI (European Lexicographic Infrastructure for Artificial Intelligence) and AI4DH (Centre of Excellence in Artificial Intelligence for Digital Humanities)
  • Contact person: prof. dr. Marko Robnik Šikonja (marko.robniksikonja@fri.uni-lj.si)

 

Quantum Computing & Artificial Intelligence

  • Research Area: The intersection of Quantum Computing and Artificial Intelligence. Candidates can focus on one of the following tracks:
    • Quantum Track: VQE, Adiabatic Algorithms, Quantum Error Correction, Reservoir Computing, and Neural Quantum States.
    • Tensor Networks Track: Tensor Cross Approximation, Variational Optimization, and applying TN architectures to NLP.
    • Machine Learning Track: Effective description of quantum systems (SINDY, Koopman), physics-informed machine learning.
  • Type of Work: Research at the absolute frontier of quantum computational science, bridging the gap between classical tensor methods and next-generation quantum hardware. The position involves working on high-impact projects (including the KTTK21 consortium) and utilizing cutting-edge quantum software and HPC resources within a collaborative, interdisciplinary environment.
  • Duration of Employment: Duration of the PhD studies (typically 4 years).
  • Additional Requirements:
    • A Master’s degree (completed or near completion) in Physics, Computer Science, or Mathematics.
    • Strong coding skills (Python, PyTorch, Qiskit, JAX, or similar).
    • A deep curiosity for many-body quantum systems, machine learning, and algorithmic optimization.
  • More info & Applications: Visit qmltn.ai or contact us at [bojan.zunkovic@fri.uni-lj.si].
 

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