Research Assistant (PhD Track) in Process Mining 50 % (m/f/d)

Liechtenstein offers a renowned and very active financial center, hosting the headquarters of numerous industrial companies and boasting a dynamic startup scene. Working at the Professorship for Information Systems and Process Science (Liechtenstein Business School) opens up a variety of opportunities, particularly with regard to future academic career planning, offering an exciting and personal work environment with diverse tasks and family-friendly employment conditions including the possibility of partial home office.

Your Responsibilities:

Research in the field of Process Science, especially Process Mining
Design and implementation of algorithms for process analysis and optimization
Publication and presentation of research findings at international conferences and in scientific journals
Collaboration with companies on academic research questions
Support of teaching activities, for example through supervision of theses

Your Profile:

Completed Master's degree in Information Systems, Computer Science, Data Science, or a related field. Applications from candidates nearing the end of their studies are also welcome
Interest in pursuing a PhD in Process Mining or related research areas
Excellent programming skills, for example in Python or Java
Proficient English language skills; German language skills are an advantage
Ideally, experience in Process Mining, Business Process Management, Data Engineering, Data Science, or Machine Learning
Existing publication experience is a strong advantage

Our offer:

The University of Liechtenstein offers an attractive and stimulating environment—both professionally and personally. Located in a highly livable region, we provide a workplace with diverse and challenging responsibilities, a supportive and collegial atmosphere, and competitive employment conditions.

The Chair of Information Systems and Process Science is internationally well connected and regularly publishes at leading conferences in the field of Process Science. This ensures strong visibility of research outcomes and makes the position an excellent steppingstone for a successful career—whether in academia, industry, or public administration.

Applicants will be consider any time – so early applications are preferred.

Universität Liechtenstein

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PhD Student in Process Mining