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A leading university in Germany seeks a Research Associate to participate in the interdisciplinary project 'InsAIderKnowledge'. The role demands expertise in Deep Learning and Building Information Modelling, with opportunities for publishing research. Applicants should hold a suitable master's degree and possess strong programming skills. The position offers a vibrant academic environment, focusing on digitalization in architecture and artificial intelligence.
The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame of the project InsAIderKnowledge funded by the Georg-Nemetschek-Institute for the duration of 48 Months. The candidate has the opportunity to pursue a doctoral degree (PhD). Renumeration is 100% TVL E13 according to the German Public Sector Rates.
The interdisciplinary team at the Chair of Architectural Informatics deals with digitalization topics in the fields of architecture in teaching and research and serves as a bridge between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods.
As part of the interdisciplinary research project “InsAIderKnowledge - Spatial Structure Estimation of Buildings from Outer Building envelopes” funded by the Georg-Nemetschek-Institute, methods of artificial intelligence for the built environment will be developed in collaboration with teams led by Prof. Dr.-Ing. Matthias Niessner (Chair of Visual Computing and Artificial Intelligence, School of Computation, Information and Technology) and Prof. Andreas Hild (Professorship of Architectural Design, Rebuilding and Conservation).
Your Responsibilities:
The above-mentioned subject areas define the content of the job profile. The applicant’s own thematic priorities are welcome and can be included in the formulation of the research project.
Your Qualifications:
Our Offer:We offer you a diverse and fulfilling job in a modern, renowned university, a pleasant working atmosphere, and collaboration on interesting research projects. You will work independently in a dynamic, team-oriented, and interdisciplinary environment with various objectives. You can expect a modern, well-equipped workplace in a central and convenient location in Munich.
Granting equal opportunities is part of our personnel policy. TUM encourages applications from qualified female candidates. Handicapped applicants will be given preference in the case of equal qualifications.
If you are interested, please send your complete and compelling application documents no later than 31.10.2025 by email to the address below. Please use the keyword [InsAIderKnowledge] in the email’s subject header.
In your application, please refer to Polytechnicpositions.com
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.