University of Ljubljana, Faculty of Computer and Information Science, Večna pot 113, Ljubljana, Slovenia published a job announcement for
two (2) positions: Assistant/Associate/Full Professor of Computer and Information Science.
Employment: fixed-term employment for part-time (20 working hours) until 31. 12. 2025, 4 months probationary
1. Conditions for the position:
• PhD degree in computer science, information systems and technologies and/or information sciences;
• valid habilitation title of assistant professor/associate professor/full professor or guest professor for Computer and Information Sciences at the University of Ljubljana.
The candidate meets the requirement if he/she has an equivalent title at a similar, internationally recognized institution. In this case, the candidate has to enclose a statement that he/she agrees with the employment application to be also considered as an application for recognition of the title.
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 in accordance with the Statutes of the University of Ljubljana and the Criteria for Appointment to the Titles of University Teacher, Researcher and Associate at the University of Ljubljana from 25th October 2011 (including changes), 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 the title.
• Knowledge of Slovenian language on B2 level (CEFR). If the selected candidate does not comply with this condition, it has to be fulfilled at the latest in three years after the assumption of duties.
• Rhetorical and innovative skills, organizational abilities (for one’s own work and the work of co-workers); teamwork skills and skills of active work with students.
• Scientific and research experience with proven track record of journal articles, conference contributions and/or projects in the field of Software engineering or related fields.
• Experience with teaching on the university level.
2. Short job description:
• work on the project "UL for a sustainable society - ULTRA". The project is co-financed by the Republic of Slovenia, the Ministry of Education, Science and Sport and the European Union - NextGenerationEU.
• 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 curriculums 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 undergraduate and graduate study programs,
• guidance of research work and other study activities of students and mentoring students in their seminar papers, diploma theses and other work,
• 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 regarding personal protection equipment and other safety measures,
• performing other tasks falling within the wider professional field of the workplace.
3. Applications including
• cover letter,
• CV including a complete bibliography,
• evidence of valid habilitation or adequate statement (see Conditions for the position),
• two recommendation letters,
• teaching statement,
• research statement.
Should be e-mailed to kadrovska@fri.uni-lj.si “VU RI – job application” until 26. 10. 2023.
4. Contact person at the Faculty:
HR department
Phone: +386/1/4798-115
e-mail: kadrovska@fri.uni-lj.si
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 Integration of Information Systems
Job type: Researcher, doctoral student - 2 positions.
Other: full-time Horizon 2020 project, doctoral tuition fee paid.
Research areas:
Contact: Prof. Dr. Matjaž Jurič (Matjaz.Juric@fri.uni-lj.si)
Laboratory for Cognitive Modelling
Type of work: researcher, doctoral student.
Duration of employment: at least 3 years.
Research area: machine learning with a focus on explainable artificial intelligence.
Additional requirements: knowledge of machine learning and statistics, good programming skills.
Contact: Prof. Dr. Marko Robnik Šikonja (Marko.RobnikSikonja@fri.uni-lj.si)
Type of work: researcher, doctoral student.
Duration of employment: at least 3 years.
Research area: Natural Language Processing.
Additional requirements: knowledge of natural language processing or machine learning, good programming skills.
Contact: Prof. Dr. Marko Robnik Šikonja (Marko.RobnikSikonja@fri.uni-lj.si)
Type of work: researcher-doctoral student.
Other: employment in Horizon 2020 project STRATIFYHF (Artificial intelligence-based decision support system for risk stratification and early detection of heart failure in primary and secondary care).
Duration of employment: as soon as possible from 1 June 2023.
Research area: Artificial Intelligence.
Additional requirements: fluency in English, programming skills in Python, R; use of Docker.
Contact: Prof. Dr. Zoran Bosnić (Zoran.Bosnic@fri.uni-lj.si)
Visual Cognitive Systems Laboratory
Type of work: researcher, doctoral student.
Duration of employment: 3-4 years.
Research area: data-driven machine vision machine learning approaches in Industry 4.0, unsupervised and supervised learning methods.
Contact: Prof. Dr. Danijel Skočaj (Danijel.Skocaj@fri.uni-lj.si)
Laboratory for Data Technologies
Job type: researcher, researcher with masters degree, researcher with doctorate - more vacancies.
Duration of employment: at least 2 years.
Research areas:
Additional requirements: the incumbent will be involved in ongoing projects ONTOCHAIN, TRUSTCHAIN, ESSA, BUILDCHAIN, ExtremeXP, ACES, NOO ULTRA, etc.
Contact: Prof. Dr. Vlado Stankovski (Vlado.Stankovski@fri.uni-lj.si)
Computer Vision Laboratory
Type of work: researcher, doctoral student.
Duration of employment: 3 years, presumably from 1 October 2023.
Research area: computer vision; participation in projects related to image biometrics, in particular DeepFake, decision interpretability (XAI), monitoring of soft facial biometric characteristics.
Additional requirements: knowledge of computer vision, deep learning, Python.
Contact: Prof. Dr. Peter Peer (Peter.Peer@fri.uni-lj.si)
Laboratory of Computer Graphics and Multimedia
Type of work: research assistant (1/2 project work, 1/2 assistantship)
Duration of employment: at least 1 year of research employment, possibility of employment on newly acquired projects.
Research area: Machine learning methods for the analysis of animal communication in audio recordings.
Contact: Prof. Dr. Matija Marolt (Matija.Marolt@fri.uni-lj.si)
Computer Structures and Systems Laboratory
Job type: Assistant
Duration of employment: permanent
Research area: modelling and analysis of biological systems (metabolic networks, gene regulatory networks) and/or urban systems (transport networks).
Additional requirements: degree in computer science and information technology or related fields, willingness to work in an interdisciplinary way.
Contact: Assoc. Prof. Dr. Miha Moškon (Miha.Moskon@fri.uni-lj.si)
Type of work: research work on a project
Duration of employment: temporary
Research area: modelling and analysis of biological systems (metabolic networks, gene regulatory networks) and/or urban systems (transport networks)
Additional requirements: willingness to work in an interdisciplinary way.
Contact: Assoc. Prof. Dr. Miha Moškon (Miha.Moskon@fri.uni-lj.si)
Computer Communications Laboratory
Type of work: researcher, doctoral student.
Duration of employment:
Research area: Federated learning with context awareness and approximate computing; Federated learning, AI, Deep learning, Energy-efficient computing, Approximate computing, Android, IoT.
Contact: Asst. Prof. Dr. Veljko Pejović (Veljko.Pejovic@fri.uni-lj.si)
Artificial Intelligence Laboratory
Type of work: researcher, doctoral student.
Other: employment on the MAIBAI project (Developing a Metrological framework for Assessment of Image-Based Artificial Intelligence systems for Disease detection).
Duration of employment: from September onwards.
Research area: Artificial Intelligence, implementation of AI methods in the medical field for screening and early detection of diseases.
Contact: Asst. Prof. Dr. Alexander Sadikov (Aleksander.Sadikov@fri.uni-lj.si)
Type of work: researcher, doctoral student.
Other: employment on the DRIFT project, which deals with the reinforcement learning of electricity distribution network management strategies.
Duration of employment: temporary, at least 1 year.
Research area: Artificial intelligence, implementation of machine learning methods.
Contact: Asst. Prof. Dr. Jure Žabkar (Jure.Zabkar@fri.uni-lj.si)
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 (ciril.bohak@fri.uni-lj.si)