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Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal > PhD Scholarship: AI-enabled code compliance checking in early building design (AI-CHECK)
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PhD Scholarship: AI-enabled code compliance checking in early building design (AI-CHECK)

27.04.2021, Wissenschaftliches Personal

The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project AI-CHECK funded by the International Graduate School of Science and Engineering (IGSSE). The candidate has the opportunity to pursue a doctoral degree (Ph.D.). IGSSE grants a fully funded scholarship (€ 2,000 monthly), including a competent international qualification program. The scholarship is for four years provided that the progress of the doctoral project is positively evaluated after the first two years.

CMS’s inter-disciplinary team is performing research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference.

In the research project AI-CHECK, new technologies for checking and optimizing building designs will be developed. The goal of this project is to develop a methodology for automatically checking building designs against regulations, and then provide reasoning about any detected failures, which can assist a systematic exploration of the design space for providing applicable solutions. Providing applicable solutions involves optimizing the design space taking into account the distance to the currently failing solution. Developing such a methodology requires a formalization of the design space and the distance between models as an objective function.

To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and evaluating machine-learning models. Expertise in in the field of Building Information Modelling and geometric modelling is greatly beneficial. Excellent English and the willingness to learn the German language are necessary to complete the task. 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 (curriculum vitae, copies of transcripts and letters of recommendation, etc.) to the email address provided below.

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. Please note, that this position requires presence in Munich starting September 2021, therefor we can only accept applications from countries that allow travel to Germany during COVID-19 times.

The application closes on June 1rst, 2021. Please send your application via email to the address indicated below using the keyword AI-CHECK in the emails’ subject.

application.cms.bgu@tum.de
www.cms.bgu.tum.de
Prof. Dr.-Ing. André Borrmann
Lehrstuhl für Computergestützte Modellierung und Simulation
Arcisstrasse 21, 80333 München

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: application.cms.bgu@tum.de