Masterarbeit: Surrogate Modeling Power Engines

We are researching the future of engineering at the Fraunhofer IEM in Paderborn, developing solutions that come into practical application. You will develop a data-driven machine learning model that describes the time-dependent behavior of combustion systems, combining it with simple physical relationships.

Requirements

• Familiarization with the basics of thermally driven combustion systems
• Preparation and analysis of measurement and/or simulation data
• Building and training of a data-driven model for time-dependent signals
• Evaluation of the model's quality

Benefits

• Exciting insights into current research projects with high social relevance
• Interdisciplinary and committed team with personal initiative appreciated
• Flexible working hours to combine work with studies