The Georg Nemetschek Institute Artificial Intelligence for the Built World (GNI) at the Technical University of Munich (TUM) is a flagship center for academic research, teaching and knowledge transfer to society on artificial intelligence, machine learning, data-centered engineering and related data and knowledge-based technologies, with special dedication to applications in architecture, engineering, construction, operate & manage in built environment (AECOM). The built world (also denoted as the built environment), which implies the complete life cycle of buildings and built infrastructure, is the focus of the Institute.
The Nemetschek Innovation Foundation supports the Institute, and TUM embeds it in its large network of data-centered sciences. The Institute thus develops and promotes a new generation of technologies with strategic importance for digital sciences in general and AECOM industries in particular. It contributes to the solution of grand societal challenges including the environment, climate, information & communications, mobility & infrastructure. Taking advantage of big data, extracting information by data analytics, creating insight from machine learning and explicitly representing knowledge, AI for the Built World will be a key technology for designing, planning, constructing, operating and managing systems of buildings and built infrastructure.
As part of the Postdoc Program, GNI offers international/national experienced high-potential researchers the opportunity to establish their own research with a focus on core scientific questions on interactive artificial intelligence, data science and machine learning within the interdisciplinary research area of GNI (AECOM domain with mathematics/informatics-oriented research). The GNI Postdoc Program is dedicated to scientists with significant experience who obtained their PhD within the last 5 years. The postdoctoral researcher will be employed at TUM full-time and the salary and benefits are commensurate with the pay scale of public service organizations (TV-L E14). The position is limited to 24 months (an extension for another 12 months is possible) and includes a yearly project budget of €5,000.
Interested candidates are encouraged to apply to the GNI Postdoc Program by November 30, 2022. Please submit a complete application including a CV with a list of publications as proof of experience in the research field of GNI, relevant certificates including a copy of your PhD degree, a research plan with abstract, research topic, goals, and schedule for the full 2-year program (max. 5 pages), and three letters of recommendation to contact.gni(at)tum.de. Please send all documents as a single PDF and use the subject line “GNI Postdoc Program”.
More information about TUM GNI can be found on the webpage http://www.gni.tum.de.
The Technical University of Munich is an equal opportunity employer committed to excellence through diversity. We explicitly encourage women to apply and preference will be given to disabled applicants with equivalent qualifications.
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.