WiMa (w/m/d) für das Gebiet Smart Operations & Smart Data – Simulation, KI und Supply Chain Networks
Core
Develop simulation models for production, logistics, and supply chain systems, coupling them with real-time data from a Smart Factory to optimize material flows and support sustainable supply chain networks.
Role type
Research and teaching academic staff (Scientific Employee) in Smart Operations & Data Science
Builds
Digital twins, AI-driven demand forecasting, and virtual value stream analyses for industrial partners and students
Domain
Industrial Engineering, Supply Chain Management, and Data Science
Deliverable
production ML models
Required skills
Simulation modeling, Data analysis, Machine Learning, Lean Management, Project management
Preferred skills
Digital twins, Industrial Metaverse, ERP/MES systems, Blockchain, Sustainability assessment
Technologies
Python, AnyLogic, Plant Simulation
Responsibilities
Develop simulation models for production and logistics systems; Apply AI methods for demand forecasting and anomaly detection; Conduct virtual value stream and resilience analyses; Support regional companies in transfer and consulting projects; Co-design interdisciplinary teaching formats and supervise student teams; Coordinate project planning and reporting
Seniority
Mid-level academic researcher (PhD required, promotion project supported)
