Research Associate & PhD Student for DFG-funded project “Process Mining from Multimodal Data for Anomaly Detection in Manual Work”
Core
Conduct independent research on process mining, AI, and data analytics to develop methods for anomaly detection in manual work using multimodal data.
Role type
PhD researcher (doctoral candidate)
Builds
New research methods and tools for event log extraction, process discovery, conformance checking, and anomaly detection
Domain
Academic research in process mining, computer vision, and NLP
Deliverable
research
Required skills
Python programming, machine learning, data analytics, process mining concepts
Preferred skills
computer vision, NLP, foundation models, prior process mining experience
Technologies
Python, machine learning frameworks, multimodal data sources
Responsibilities
Develop and evaluate new methods for process mining and anomaly detection; Apply ML methods to process-related data; Publish and present results at international venues; Collaborate with academic and industry partners; Support teaching and academic activities
Seniority
PhD candidate (early career researcher)
