PhD: Topology Optimization and ML for the Design of Multi-component Structures with Application in Robotics

at Technical University of Munich (TUM)
Published February 5, 2023
Location Munich, Germany
Category Machine Learning  
Job Type Scholarship  


Location: Garching/Munich, Germany
Role: Research & Teaching Assistant
Application Closing Date: 05 February 2023 (check website for extensions)


We are offering a full-time position in our lab in Garching/Munich as Research & Teaching Assistant (m/f/d) for Topology optimization and machine learning for the design of multi-component structures with applications in robotics (PhD)

The Laboratory for Product Development and Lightweight Design focuses on the design and optimization of complex technical systems. We develop methods, tools and specific solutions to technical problems with optimal functionality, weight and cost. We are looking for a research/teaching assistant to design multi-component structures with topology optimization and machine learning.


When designing mechanical structures, known forms such as e.g. standard profiles, are used. This supports manufacturability and low costs, but at the same time limits optimality in terms of weight and function. In contrast, so-called top-down approaches aim at technical solutions whose components are defined as little as possible in advance. An optimal, previously unknown form of mechanical structures can be determined via topology optimization purely according to functional criteria or weight. Specially trained machine learning algorithms serve as estimators for manufacturability, costs and weight. These methods are used in several projects, e.g., in the design of new lightweight structures for robots.


  • Develop methods and algorithms for optimization (especially topology optimization) and machine learning for the design of lightweight structures
  • Contribute to lab team projects
  • Support lectures and lab exercises and supervise students

Required (please explain in the cover letter)

  • Master's degree in mechanical engineering, automotive engineering, aerospace engineering or similar
  • Solid knowledge of technical mechanics, numerical optimization and machine learning
  • Fluent in German or strong commitment to learning German

We offer

  • Innovative topic, interdisciplinary team, possibility to graduate with a PhD degree, stay abroad
  • Full position as research/teaching assistant (m/w/d) with salary according to TV-L


All applications received by 05 February 2023 will be considered. Please email your application (reference code TopOpt) to:
Please visit our website to check for extensions of the deadline.

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