Job
- Level
- Erfahren
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
Job Zusammenfassung
In diesem Forschungsprojekt entwickelst du innovative Methoden zur Prozessanalyse mit multimodalen Daten, wendest maschinelles Lernen an und veröffentlichst deine Ergebnisse in internationalen Fachzeitschriften.
Job Technologien
Deine Rolle im 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 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.
- 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.
Unsere Erwartungen an dich
Ausbildung
- Very good Master's degree (or equivalent) in computer science, data science, information systems, industrial engineering or a related field.
Qualifikationen
- 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.
Erfahrung
- Prior experience with process mining, computer vision or NLP is a plus but not required.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
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
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Bildungswesen
Research Associate & PhD Student
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
