B_DMP_16_25

The Faculty of Civil and Environmental Engineering at the Bauhaus-Universität Weimar is seeking to fill a position at the Chair of Stochastics and Optimization starting September 15, 2025.

Research Assistant (m/f/d)

with the aim of promoting one's own scientific qualification by participating in a DFG-funded research project. The position is initially limited to 3 years. An extension is possible in accordance with the applicable regulations of the Wissenschaftszeitvertragsgesetz. This is a 75% part-time position with a weekly working time of 30 hours. The position includes a qualification component.

The DFG-funded project entitled »Fast and smart approach for buildings Risk Assessment using open accessible geostatistical data and data-driven classification methods - SmartRA« aims to propose a digitally supported fast visual analysis method that uses drone-based and geostatistical information to achieve a highly efficient, more reliable, versatile and fast assessment of the vulnerability of buildings to earthquakes in a neighborhood.

Responsibilities:

• Work in the above mentioned DFG project, in particular:
• Development and implementation of data pipelines for automated analysis of image data (e.g. Google Street View, drone footage);
• Extraction of building-related information from images and videos using deep learning methods or computer vision;
• Integration of the extracted information into GIS systems, taking into account geostatistical data (e.g. age, construction, use);
• Development of mobile applications for recording and visualizing building data on site;
• Research into the use of camera systems (e.g. GoPro, dashcam) for automated data collection in the streetscape;
• Close coordination with colleagues in the project; publication activities;
• Participation in networking the professorship in the region and with partners in academia and industry
• Participation in the expansion and further development of international cooperation;
• Implementation of own qualification project, preferably as a doctorate;
• Participation in the academic self-administration of the professorship and in university committees.

Recruitment requirements:

• Successfully completed university degree in computer science, computer vision, data science, civil engineering or related disciplines;
• Familiarity and routine in programming; especially Python, Matlab and / or C++;
• Experience in image processing, computer vision and machine learning;
• Knowledge in software development or mobile applications (Android/iOS) an advantage;
• Familiarity with GIS software (e.g. QGIS, ArcGIS) and geostatistical data processing;
• Ability to think critically and work independently;
• Very good written and spoken German and English,
• Other languages an advantage (Italian, Greek, Turkish, ...)
• Relevant professional experience is an advantage;
• First scientific publications and international academic experience are an advantage;
• Willingness to travel and work abroad to collect data is essential.

We offer:

• a small, dynamic team with an appreciative working atmosphere, embedded in a diverse and exciting scientific environment at the Institute of Structural Mechanics;
• individual offers for professional and personal qualification at the professorship and through the Bauhaus Research School;
• a high degree of flexibility and self-determination in the organization of working hours at a family-friendly university;
• a modern, well-equipped and pleasant workplace;
• a salary in accordance with the provisions of the collective agreement for the public service of the federal states (TV-L);
• a university health promotion program and a wide range of university sports activities, and
• a workplace close to the city center in a highly attractive city.

Payment is based on the provisions of the Collective Agreement for the Public Service of the Federal States (TV-L) in accordance with personal requirements up to pay group 13 TV-L.

If you have any questions regarding your application, please contact Prof. Dr. Tom Lahmer by e-mail at tom.lahmer[at]uni-weimar.de

Diversity and supporting equal opportunities are important at the Bauhaus-Universität Weimar. We are committed to providing a family-friendly and non-discriminatory work environment and operate under a personnel policy founded on equality and diversity. We particularly welcome applications from individuals with diverse backgrounds, experiences and professional histories. One of the strategic goals of the Bauhaus-Universität Weimar is to increase the proportion of women in scientific/artistic/academic positions. The Bauhaus-Universität Weimar expressly invites women scientists, designers and artists to apply. Equally qualified people with disabilities will be given preferential consideration.

Please send your application with the usual informative documents (Master's certificate, incl. overview of grades, CV, proof of previous employment if applicable) and stating your telephone/email connection electronically (complete PDF), quoting the reference number B+U/DMP-16/25, by 25.07.2025 to

Bauhaus-Universität Weimar
Fakultät Bau- und Umweltingenieurwissenschaften
Professur Stochastik und Optimierung
Herrn Prof. Dr. Tom Lahmer
Marienstraße 15
99423 Weimar

E-Mail: tom.lahmer[at]uni-weimar.de

The interviews are expected to take place between August 6 and 12, 2025 in Weimar.

Information on Data Protection
Please note that the confidentiality of unencrypted e-mails cannot be guaranteed. Because the Bauhaus-Universität Weimar is unable to guarantee encrypted receipt of your e-mail, you may also submit your application via post to the above address.
When an application is submitted electronically, the applicant consents to the scanning of the submitted files for harmful codes, viruses, and spam, to the temporary storage of the required data, and to the conduct of future (unencrypted) e-mail correspondence.
Additional information on data protection pursuant to Art. 13 of the EU Basic Data Protection Regulation (EUDSGVO) can be found on our website:
https://www.uni-weimar.de/de/universitaet/aktuell/stellenausschreibungen/datenschutz/

Please note that only the German-language version of this job vacancy notice is legally binding.