Research Associate in Architectural Informatics (Technical University of Munich )

Research Associate in interdisciplinary research project “InsAIderKnowledge - Spatial Structure Estimation of Buildings from Outer Building Envelopes” funded by the Georg-Nemetschek-Institute with the option for a Doctoral Degree 25.08.2025, Wissenschaftliches Personal 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: Collaboration in the research project “InsAIderKnowledge” / sub-project “AI-based knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific Publications and Presentations in English. Contribute to the academic university environment by supervising students. 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: A university degree (master’s or diploma) in either computer science, architecture, civil engineering, or geodesy with a specialization in Deep Learning, or in a comparable thematically appropriate discipline. In-depth skills in programming and working with Deep Learning methods. Expertise in the field of Building Information Modelling, ontologies, and point clouds is greatly beneficial Experience in publishing scientific texts Confident in written and spoken English (C1 or greater) Written and spoken German is beneficial Enthusiasm for the challenges of digitalization in the built environment and artificial intelligence Capable of and interested in analytical, creative, and interdisciplinary thinking High level of commitment, independence, and initiative Systematic way of working and high reliability Ability to work in a team and to communicate 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. Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben. Kontakt: info@ai.ar.tum.de If you apply for this position please say you saw it on Computeroxy

Research Associate in interdisciplinary research project “InsAIderKnowledge - Spatial Structure Estimation of Buildings from Outer Building Envelopes” funded by the Georg-Nemetschek-Institute with the option for a Doctoral Degree

25.08.2025, Wissenschaftliches Personal

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:

Collaboration in the research project “InsAIderKnowledge” / sub-project “AI-based knowledge-driven reconstruction of floor plans using multiple image data sources”
Research and development into knowledge-driven systems and their integration into generative AI
Providing scientific Publications and Presentations in English.
Contribute to the academic university environment by supervising students.

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:

A university degree (master’s or diploma) in either computer science, architecture, civil engineering, or geodesy with a specialization in Deep Learning, or in a comparable thematically appropriate discipline.
In-depth skills in programming and working with Deep Learning methods.
Expertise in the field of Building Information Modelling, ontologies, and point clouds is greatly beneficial
Experience in publishing scientific texts
Confident in written and spoken English (C1 or greater)
Written and spoken German is beneficial
Enthusiasm for the challenges of digitalization in the built environment and artificial intelligence
Capable of and interested in analytical, creative, and interdisciplinary thinking
High level of commitment, independence, and initiative
Systematic way of working and high reliability
Ability to work in a team and to communicate

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.

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Kontakt: info@ai.ar.tum.de

If you apply for this position please say you saw it on Computeroxy

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