PhD / Doctoral Researcher Positions (m/f/d) in the field of artificial intelligence for the built environment.

05.05.2026, Wissenschaftliches Personal

The Chair of Computing in Civil and Building Engineering is part of the TUM School of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and the application of AI methods in engineering.

Description:

The announced position spans an interconnected set of research topics at the intersection of:

• Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) for the Built Environment
• Generative AI and Vision–Language Models for Sustainable Built Environments
• Parametric Modelling and Computational Design for the Built Environment
• Visual Computing, 3D Scene Understanding, and Point Cloud Processing

Candidates are expected to contribute across these complementary areas, within the context of DFG and Industry funded research projects.

Candidate Profile:

Applicants should hold an above average Master's degree (M.Sc. or equivalent) in Civil Engineering, Architecture, Computer Science, Geomatics, or a closely related field. Strong analytical skills, proficiency in English (German is not required but is an asset), and a genuine interest in at least one of the listed research topics are expected.

Your tasks:

• Research, development and evaluation of AI/ML approaches in the designated areas
• Prototype development
• Literature review
• Publication and presentation of scientific results in international conferences and related journals
• Contribution to the teaching and research activities of the group

Requirements:

• Background in Machine Learning and Artificial Intelligence
• Strong programming skills (Python)
• Good knowledge of AI frameworks like PyTorch, JAX, or TensorFlow

Good to have:

• Scientific publications
• Familiarity with recent developments in deep learning, such as transformers, diffusion models, LLMs, VLMs
• Experience with C++, parametric/computational design tools, or BIM tools

We offer:

• The opportunity to pursue a doctoral degree (Dr.-Ing. / Ph.D.) at one of Europe's leading technical universities
• Integration into an internationally active, interdisciplinary research group with strong industry and academic network ties
• Access to state-of-the-art research infrastructure and collaboration opportunities within the TUM Georg Nemetschek Institute
• Funding for participation in international conferences and workshops
• Remuneration according to pay group E13 (TV-L)
• General advantages of the Munich metropolitan region in terms of high quality of life and varied leisure activities

Application documents:

• Motivation letter describing research interests and preferred topic
• Full CV
• Copy of BSc and MSc degrees, including grades
• Master's thesis (or draft, if not yet finalized)
• Names and contact details of two academic referees (if applicable)
• List of publications or research outputs (if applicable)

Applications will be reviewed on a rolling basis until the position is filled.

The Technical University of Munich aims to increase the proportion of women. Qualified women are therefore strongly encouraged to apply. Severely disabled persons will be given preference in case of equal suitability and qualification.

If you are interested, please send your complete and informative application documents by 25/05/2026 to the following email address:

application.ccbe@ed.tum.de

https://www.cee.ed.tum.de/ccbe/

Chair of Computing in Civil and Building Engineering
TUM School of Engineering and Design
Technical University of Munich
Arcisstrasse 21, 80333 München

Kontakt: Chair of Computing in Civil and Building Engineering, application.ccbe@ed.tum.de