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 (PhD)

The Laboratory for Product Development and Lightweight Design focuses on the design and optimization of com-plex technical systems. We develop methods, tools and specific solutions to technical problems with optimal func-tionality, 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 manu-facturability 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 ad-vance. 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.

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
All applications received by 01.06.2023 will be considered.
Please send your application in German or English (one pdf file, reference code TopOpt) by email to:
applications.lpl@ed.tum.de. Please visit our website to check for extensions of the deadline.

The position is suitable to be filled by severely disabled persons. Severely disabled applicants will be given preference in the case of oth-erwise essentially equal suitability, ability and professional performance. TUM promotes equality between women and men. Data protec-tion notice: With your application to the Technical University of Munich (TUM), you are transmitting personal information. In this regard, please note the data protection information in accordance with Article 13 of the General Data Protection Regulation (DSGVO) on the col-lection and processing of personal data in the context of your application (http://go.tum.de/554159). By submitting your application, you confirm that you have taken note of the above-mentioned TUM data protection information.

München-Garching

Germany

Ganztags

Befristete Anstellung