Job
- Level
- Experienced
- Location
- Hamburg
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this research project, you will develop innovative methods for process analysis using multimodal data, apply machine learning techniques, and publish your findings in international journals.
Job Technologies
Your role in the team
- 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 examines how process mining can go beyond traditional event logs by utilizing richer data sources, such as video, audio, and sensor data, to better understand and optimize how work is actually performed.
- 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.
- Veröffentlichen und präsentieren Sie Ergebnisse auf internationalen Konferenzen und in Fachzeitschriften.
- Work with the project partners at TU Vienna and with industry partners.
- Contribute a modest share of support to teaching and to the department's academic activities.
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Our expectations of you
Education
- Sehr guter Master-Abschluss (oder gleichwertig) in Informatik, Data Science, Informationssystemen, Wirtschaftsingenieurwesen oder einem verwandten Fachgebiet.
Qualifications
- 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.
- Excellent command of English; German is not required.
- Curiosity, a structured way of working and enjoyment of working in an international team.
Experience
- Prior experience with process mining, computer vision or NLP is a plus but not required.
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What 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.
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Topics You Will Work On
Job Locations
About Your Employer
Kühne Logistics University gGmbH
Die Kühne Logistics University – Wissenschaftliche Hochschule für Logistik und Unternehmensführung ist eine staatlich anerkannte, private Wirtschaftshochschule mit Sitz in Hamburg.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Education System
Research Associate & PhD Student
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
