PhD position: Predictive Additive Manufacturing (m/f/d)

17.11.2025, Wissenschaftliches Personal

CCBE's interdisciplinary team is performing research in the broad field of computational methods for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics.

The PhD will be conducted in the frame of the Transregio "Additive Manufacturing (AM) in Construction" funded by the German Research Foundation (DFG).

In the subproject "Integrating digital design and additive manufacturing", new AI methods for predicting the outcome of AM printing processes under varying bounding conditions are developed. This involves the design of a cyber-physical system incl. a data management strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms.

In order to apply for this position, the candidate should possess in-depth skills in programming and strong experience in computational geometric modelling. Expertise in the field of Additive Manufacturing, Construction Robotics, and/or Artificial Intelligence is very beneficial. Excellent English and intermediate German communication skills are necessary to complete the task.

Your tasks:

• Research, development and evaluation of AI/ML methods for predictive Additive Manufacturing
• 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:

• Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline.
• Background in Machine Learning and Artificial Intelligence.
• Strong programming skills (Python)
• Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras

Good to have:

• Scientific publications
• Experience with ML models and methods (CNNs, LLMs, Transformers, GNNs)

We offer:

• An optimal research and supervision environment for doctoral studies and academic development, excellent networking opportunities.
• Pleasant working environment in a friendly and committed team
• Renumeration 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
• Full CV
• Copy of BSc and MSc degrees, including grades

If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics, and want to join a highly motivated research group, please submit your application, including all relevant documents, to the following email address:

application.cms@ed.tum.de

The application closes on December 8^th, 2025. Targeted start date is February 1^st,2026.

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.

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

Prof. Dr.-Ing. André Borrmann
Chair of Computing in Civil and Building Engineering
Technical University of Munich
Arcisstrasse 21, 80333 München

Kontakt: application.cms@ed.tum.de

Mehr Information

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