Professor for Digital Information Processing for AEC
Augsburg
Aktualität: 24.03.2023
24.03.2023, Hochschule für angewandte Wissenschaften Augsburg
Augsburg
Professor for Digital Information Processing for AEC
The Faculty of Architecture and Civil Engineering is looking for two additional professors (m/f/d) to strengthen the newly introduced study program «digital.design and production (Digitaler Baumeister)». The faculty aims to strengthen interdisciplinary and integrative competences in the field of digital technologies and process chains to address current challenges, such as digitalization, urbanization, and climate change. The digital transformative teaching and research content will also be integrated into the faculty's existing bachelor and master programs - Architecture, Civil Engineering, and Energy Efficiency Design.
We are looking for candidates who can demonstrate a conceptual, methodical, theoretical, and visionary approach to the digital content in the program. Your focus is particularly on sustainable, social, and process-related topics that you can convey academically to students in teaching and applied research. We seek to appoint an expert with practical and theoretical experience in a responsible position on one or more of the following topics in the building industry:
Artificial Intelligence, Machine Learning, Adaptive Systems
Augmented Reality (AR) / Virtual Reality (VR)
Data Science, data acquisition and data processing
Smart city, networked infrastructure, geo-information systems (GIS)
Practical experience on the construction site, with construction management and digital construction progress recording
Interest and willingness to integrate future-oriented and innovative topics into teaching and research are required. Work experience in interdisciplinary working groups and/or experience abroad in professional practice or in university cooperations in the advertised subject area must be presented. Publications and research experience as well as the acquisition of third-party funds on the above-mentioned topics are desirable.
The Augsburg University of Applied Sciences is looking for individuals with international experience who can offer lectures in English.
The scope of duties also includes active participation in the further development of the department and in the self-administration of the university. In addition, involvement in applied research projects and transfer of technology and knowledge at the Augsburg University of Applied Sciences is expected.
We are looking for candidates who can demonstrate a conceptual, methodical, theoretical, and visionary approach to the digital content in the program. Your focus is particularly on sustainable, social, and process-related topics that you can convey academically to students in teaching and applied research. We seek to appoint an expert with practical and theoretical experience in a responsible position on one or more of the following topics in the building industry:
Artificial Intelligence, Machine Learning, Adaptive Systems
Augmented Reality (AR) / Virtual Reality (VR)
Data Science, data acquisition and data processing
Smart city, networked infrastructure, geo-information systems (GIS)
Practical experience on the construction site, with construction management and digital construction progress recording
Interest and willingness to integrate future-oriented and innovative topics into teaching and research are required. Work experience in interdisciplinary working groups and/or experience abroad in professional practice or in university cooperations in the advertised subject area must be presented. Publications and research experience as well as the acquisition of third-party funds on the above-mentioned topics are desirable.
The Augsburg University of Applied Sciences is looking for individuals with international experience who can offer lectures in English.
The detailed requirements for employment are as follows:
A university degree preferably in the field of civil engineering or a comparable course of study
Excellent academic achievements in research and an outstanding doctoral degree or equivalent academic qualification
A minimum of five years of work experience during which outstanding achievements in the form of applying or developing scientific discoveries and methods have been demonstrated; this period of work experience needs to have taken place after you completed your degree program, and at least three of the five years need to have been spent working in a non-academic context; if, over a period of at least five years, a considerable portion of your work involved a cooperation between a university and a non-academic employer, this time may be considered to meet the requirements for non-academic work experience in some cases
Aptitude for teaching