Research Assistant (m/f/d) / PhD Candidate in the topic AI-based methods for predictive building design

Technische Universität München
January 03, 2023
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Research Assistant (m/f/d) / PhD Candidate in the topic AI-based methods

for predictive building design

02.12.2022, Wissenschaftliches Personal

The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant (m/f/d) for performing research in the field of machine learning for predictive BIM modelling.The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13 according to the German public sector rates.

The Chair of Computational Modeling and Simulation 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:

Currently, a broad adoption of BIM and model-based design is underway in all sectors of the construction industry. A major limitation is the high effort required for manually creating BIM models. The research project will thus investigate ways to automate processing by applying AI methods.

Your tasks:

  • Research,development and evaluation of AI/ML methods for model creation
  • 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:

  • Research,development and evaluation of AI/ML methods for model creation
  • 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 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
  • Familiarization with certain ML models and methods (CNNs, LSTMs, Attention Networks, 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
  • General advantages of the Munich metropolitan region in terms of high quality of life and varied leisure activities
  • 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 20/12/2022 to the following email address:

    application.cms@ed.tum.de

    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:

    Currently, a broad adoption of BIM and model-based design is underway in all sectors of the construction industry. A major limitation is the high effort required for manually creating BIM models. The research project will thus investigate ways to automate processing by applying AI methods.

    Your tasks:

  • Research,development and evaluation of AI/ML methods for model creation
  • 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:

  • Research,development and evaluation of AI/ML methods for model creation
  • 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 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
  • Familiarization with certain ML models and methods (CNNs, LSTMs, Attention Networks, 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
  • 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 20/12/2022 to the following email address:

    application.cms@ed.tum.de

    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: application.cms@ed.tum.de

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