Research Technician

#jobreq_print_container div div div: first-child h2 { display: none; } At the University of Vienna, almost 11,000 individuals explore the mysteries that shape our future. Among them, approximately 3,000 dedicated employees provide administrative and technical support for cutting-edge international research and teaching. With us you will discover a nurturing environment that encourages your continuous aspiration to discover and shape innovative solutions. Does this resonate with your ambitions? We are currently seeking a/an Research Technician 39 Faculty of Computer Science Job vacancy starting: 09/01/2026 | Working hours: 20.00 | Classification CBA: §54 VwGr. IIIb Limited contract until: Job ID: 5973 .headerContent + div div div: first-child { display: none; } .jobListingBodyTitle { display: none !important; } Long Description If you enjoy implementing research ideas, conducting experiments, and supporting researchers with the technical aspects of their projects, we would be delighted to welcome you to our team. Our Research Group Workflow Systems and Technology (WST) brings together dedicated professionals who are committed to advancing science and creating a positive impact on society. We value respectful communication, professionalism, collaboration, and a shared pursuit of excellence in research. Long Description Setting: The University of Vienna seeks to fill a position of Research Technician within the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science, working under the supervision of Prof. Han van der Aa. In this role, you support the group's research by taking care of and enabling the technical side of our work — implementing research ideas, running experiments, and helping group members carry out the technical aspects of their projects. Prof. Van der Aa and his team focus on research in process mining, which revolves around the data-driven analysis of organizational processes. We offer an excellent and international working environment. As a member of the team, you contribute directly to state-of-the-art research by turning research ideas into working software, building reliable evaluation pipelines, and establishing shared technical best practices across the group. The position is initially fixed-term for 1 year, with the possibility of being made permanent by mutual agreement. Long Description Your future tasks: In this role, you will: implement algorithmic approaches and machine learning models developed within the group, turning research ideas into working and reliable code; design and run experimental evaluations for the group's research projects; support group members with the technical side of their research — helping to resolve programming issues, building shared pipelines and tooling, and establishing technical best practices across the group; contribute to the writing of research papers, mostly regarding the approaches you implement and the evaluations you conduct; help maintain the group's technical infrastructure, including hardware and updates to the group website (TYPO3), in collaboration with our other technician; share tasks within the IT infrastructure of the Faculty of Computer Science. Long Description Required qualifications: Relevant vocational training (Fachmatura) or ongoing/completed university studies in Computer Science, Business Informatics, Data Science, or an equivalent field. Good programming skills in Python An excellent command of English and German (spoken and written) An interest in process mining and in contributing to research (experience preferred but not required) The ability to work independently as well as to support and enable colleagues A hands-on, problem-solving mentality and the ability to get things done Care for clean, well-documented, and reproducible code Desirable qualifications: Knowledge of process mining Experience with machine learning frameworks (e.g., PyTorch, scikit-learn) Familiarity with software engineering best practices, such as version control (Git), testing, containerization (Docker), or working on compute clusters Experience with web technologies or content management systems (e.g., TYPO3) Prior experience contributing to research, e.g., as a student assistant Long Description What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from — free of charge. Fair salary: The basic salary of EUR 3.131,3 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to every additional personality in the team! It’s that easy to apply: Just submit the following via the job portal: A motivation letter, targeting the specific position Your curriculum vitae (including relevant programming, project, or research experience) Proof of your university education (transcript of records, proof of enrollment, or degree certificate) If you have any content questions, please contact: Johannes Hendrikus van der Aa We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 08/10/2026 IT