Phd Position Available for Topology Optimization - Nuernberg, Deutschland - Technische Universität München

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung
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 currently looking for a research/teaching assistant to design multi-component structures with topology optimization and machine learning.


Topic
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 optimiza-tion purely according to functional criteria or weight.

Specially trained machine learning algorithms serve as estima-tors for manufacturability, costs and weight. These methods are used in several projects, e.g., in the design of new lightweight structures for robots.


Tasks

  • 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

Application

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