Postdoktor i elektroteknik – AI och digitala tvillingar för industrin
Core
Developing next-generation digital twins for industrial processes by combining physics-based modeling, measurement techniques, and machine learning for analysis, prediction, and decision support in the steel industry.
Role type
Postdoctoral researcher in electrical engineering (AI and digital twins)
Builds
Physics-based and data-driven models for production systems, experimental studies, and educational content
Domain
Industrial automation, steel industry, machine learning, control systems
Deliverable
production ML models | product features
Required skills
Physics-based modeling, data-driven modeling, control theory, machine learning, experimental design, Python, MATLAB
Preferred skills
Dynamic systems, applied control engineering, neural networks, mechanical engineering lab experience
Technologies
Python, MATLAB
Responsibilities
Conduct experimental investigations in laboratories or with industry partners; Develop and verify models using industrial process data; Teach and supervise PhD students
Seniority
Postdoctoral researcher, early-career academic