We are seeking for
The Kühne Logistics University (KLU) invites applications for a doctoral researcher in the DFG-funded project “Process Mining from Multimodal Data for Anomaly Detection in Manual Work”, led by Prof. Dr. Henrik Leopold in cooperation with TU Wien. The project looks at how process mining can go beyond traditional event logs by using richer data sources, such as video, audio and sensor data, to better understand and improve how work is actually done. The position is limited to 36 months.
Your Responsibilities
Carry out independent research on process mining, AI and data analytics, with the goal of completing a doctoral degree
Develop, implement and evaluate new methods and tools, for example for event log extraction, process discovery, conformance checking or anomaly detection
Apply machine learning methods (e.g. computer vision, NLP, foundation models) to process-related data
Publish and present results at international conferences and in journals
Work with the project partners at TU Wien and with industry partners
Contribute a modest share of support to teaching and to the department’s academic activities
Your qualifications
Very good Master’s degree (or equivalent) in computer science, data science, information systems, industrial engineering or a related field
Strong programming skills (e.g. Python) and solid knowledge of machine learning or data analytics
Interest in business processes and in research that brings together AI and organizational practice
Prior experience with process mining, computer vision or NLP is a plus but not required
Excellent command of English; German is not required
Curiosity, a structured way of working and enjoyment of working in an international team
We offer
Salary based on TV-L E13, depending on qualifications
Supervision by an internationally recognized researcher in process mining, with close links to academic and industry partners
Funding for conference travel and the chance to join an international research community
A dynamic, international work environment in Hamburg
We value diversity
We value diversity and therefore welcome all applications regardless of gender, nationality, ethnic and social origin, religion and worldview, disability, age, sexual orientation, and identity.
Contact
Please send your complete application documents by email to klu-jobs@m.personio.de or via the Apply button.