Academic Internship in Management systems or Computing (f/m/div.)
Core
Develop and implement innovative approaches using AI and digitalization to improve the efficiency of daily leadership routines in a manufacturing environment.
Role type
Master's thesis intern (Management Systems/Computing)
Builds
New methods, processes, and standards for leadership routines and Value Stream workflows
Domain
Automotive Electronics / Manufacturing / Operational Excellence
Deliverable
production ML models
Required skills
AI and digitalization, process improvement, Lean Management, Value Stream concepts, analytical problem-solving, independent work, collaboration
Preferred skills
Manufacturing processes, leadership processes, decision-making optimization
Technologies
Artificial Intelligence, digitalization tools
Responsibilities
Assess and diagnose current leadership routines, evaluate practices for improvement, develop new methods and standards, implement and validate solutions, evaluate impact on operational efficiency and financial benefits
Seniority
Intern (Master's level)