Benjamin Unger, a native Swabian from Tettnang, just started as the second junior research group leader in SimTech. Unger, who studied mathematics at KIT and Virgina Tech, received his doctorate in Applied Mathematics from Technische Universität Berlin after a short excursion into industry. His research interests include data-driven model reduction, discretization aspects, and time-delayed differential-algebraic equations.
"With his 31 years, Benjamin Unger can already show many results, successes and activities. He is a clear enrichment for SimTech", says SimTech-PI Carsten Scherer who is also Unger's mentor.
In his research, Benjamin Unger will focus on generating physically interpretable models from data, or enriching or calibrating existing models with data in a physically meaningful way. In many complex systems, this is not just a single model, but also a whole library of models that can interact with each other via a network structure. It is important that even the coupled models do not exhibit unphysical behavior, such as the generation of energy. His research will cover the complete process chain from model building to efficient approximation in time and space. He thus hopes to create important contributions for the development of digital images, so-called digital twins.
“What I like about SimTech is the interdisciplinary concept and the Focus Challenges. From the project-specific (as opposed to the discipline-specific) approach, I hope to gain new impulses for my research. The proximity to Cyber Valley and industry offers the possibility to implement research results in real projects”, explains Unger his reasons for his decision for SimTech.
For more information also check our interview with Benjamin Unger! Welcome!
To enable an additional career step, SimTech has established independent junior research groups to attract internationally outstanding postdoctoral students. Junior research group leaders are able to supervise and check dissertation projects independently. They are guaranteed full access to core facilities and central infrastructures.