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Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal > Research Associate / PhD Candidate for VAULT-AI: Computational Design and Fabrication of Self-Supporting VAULTed Structures through AI-Driven Human-Robot Cooperation
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Research Associate / PhD Candidate for VAULT-AI: Computational Design and Fabrication of Self-Supporting VAULTed Structures through AI-Driven Human-Robot Cooperation

20.05.2025, Wissenschaftliches Personal

Position overview
Do you have a passion for digital construction technologies and enjoy working in an interdisciplinary research team? Are you interested in developing your own research topic in this context for the completion of a PhD degree? If so, we invite you to become part of VAULT-AI, an exciting project at the intersection of design computation, AI, and robotic fabrication. The position is expected to start in August 2025, or as mutually agreed. The position is located at the Professorship of Digital Fabrication, as part of the Department of Architecture at the TUM School of Engineering and Design.

What we offer
We offer a fully funded PhD position in an interdisciplinary academic environment, a vivid research team, and excellent working conditions at the research facility of TUM. The employment takes place with the appropriate remuneration according to the collective agreement for the civil service of the country (TV-L E13). The position is limited to four years and can start in August 2025 or upon agreement. TUM aims to increase the number of women employees, and applications from women are expressly welcomed.

What you should bring
You have a master’s degree in architecture or civil engineering or have an equivalent degree (e.g., Building Technologies, CS, Mech.Eng., Robotics). You should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior knowledge in digital fabrication. Finally, you are fluent in English (German skills are welcome but not mandatory), are highly motivated, reliable, and have excellent teamworking skills.

Information to the application process
We look forward to receiving your application by 9th of June 2025 via email to info.df@ed.tum.de. Your application should include a cover letter, CV, and a statement of experience/portfolio.

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Hinweis zum Datenschutz:
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Kontakt: info.df@ed.tum.de

Mehr Information

https://www.mdsi.tum.de/en/gni/gni-funded-projects/vault-ai/