University Assistant Predoctoral

vor 3 Wochen

Wien, Österreich Universität Wien Vollzeit

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an

**University assistant predoctoral**:
39 Faculty of Computer Science

Job vacancy starting: 02/01/2025 (MM-DD-YYYY) | Working hours: 30.00 | Classification CBA: -48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 01/31/2029

Job ID**:3554**

Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team

**Your personal sphere of influence**:
The University of Vienna seeks to fill a position of University Assistant (), for a period of 4 years, focusing on process mining. The selected will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and will work towards obtaining a doctorate degree (PhD) under the supervision of Prof. Han van der Aa. The position is to be filled as soon as possible.
The WST research group focuses on research in process mining, which revolves around the data-driven analysis of organizational processes. At WST, we offer an excellent working environment in a new research team. As a member of the team, you will contribute to state-of-the-art research in the field. You will have the opportunity to set your own research agenda, publish your work at leading international conferences, and exchange ideas with international and interdisciplinary collaboration partners.
The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research. The selected praedoc will also become part of the UniVie Doctoral School Computer Science (DoCS), which builds an essential framework to foster excellence in research and teaching.

The UniVie Doctoral School Computer Science (DoCS) provides an essential framework for the promotion of excellence in research and teaching. It is primarily aimed at young aspiring researchers who want to make an impact in both basic and applied research in collaboration with the university and beyond. The DoCS aims to provide these young researchers with the broad knowledge and experience they need to conduct computer science research at the highest level. The Doctoral School trains doctoral students in solving fundamental as well as applied research questions of high relevance.

Contract duration: The contract duration at the time of employment is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not submit a declaration of non-extension within the first 12 months.

**Your future tasks**:
You will actively participate in research, teaching, and administration, which means that you:
are involved in process mining research
. will work on your doctoral dissertation and its completion
- . will contribute to the teaching of courses as defined by the collective agreemen
- t will supervise students in bachelor and master project
- s will contribute to the administration and other operational aspects of the group's scientific and educational activitie
- s

**This is part of your personality**: Master's degree in Computer Science, (Business) Information Systems, Data Science, or an equivalent qualification with excellent grades
. An excellent command of English (spoken and written
- ) A strong interest to work in process mining (experience is preferred but not required
- ) Good programming skills, preferably in Pytho
- n Strong ability to work in team
- s Perseverance and ability to get things don
- e A high motivation to excel in your wor
- k

Desirable qualifications are:
Knowledge of process minin
- g Experience with process modeling (Petri nets, BPMN, etc.
- ) Experience with relevant programming libraries such as Py4P
- M Research or teaching experience, e.g., as a student assistan
- t

**What we offer**:
**Work-life balance**: Our employees enjoy flexible working hours and can partially work remotely.

**Inspiring working atmosphere**: You are a 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

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