Stellenangebot

TU München, Lehrstuhl für Produktentwicklung und Leichtbau sucht:

PhD position available for Topology Optimization and Machine Learning for the Design of Multicomponent Structures


Gesucht wird:

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

Beschreibung:

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 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 05.02.2023 will be considered.
Please send your application (reference code TopOpt) by email to: applications.lpl@ed.tum.de.
Please visit our website to check for extensions of the deadline.

Disabled people are given preference if they are equally suitable and qualified. TUM promotes equality between women and men. Data protection notice: With your application to the Technical University of Munich (TUM), you are submitting personal information. In this regard, please note the data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data as part of your application (http://go.tum.de/554159). By submitting your application, you confirm that you have taken note of the TUM\'s data protection information mentioned above.

Stadt:

München-Garching

Land:

Germany

Arbeitszeit:

Ganztags

Art der Anstellung:

Befristete Anstellung


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