Research Associate in interdisciplinary research project “NERF2BIM - AI-Driven Detailing-on-Demand through Sustainable Point Cloud Surveys and Semantic 3D Understanding for Advanced Modeling of Existing Buildings” funded by the Georg-Nemetschek-Institute with the option for a Doctoral Degree
26.09.2024, Wissenschaftliches Personal
- Collaboration in the research project “NERF2BIM” / sub-project “AI-based knowledge-driven reconstruction of semantic building data using multiple image data sources”
- Research and development into knowledge-driven systems with the integration of human feedback
- 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.
- 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
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