PhD candidate on the topic of “Automatic Recognition of building attributes”

12.10.2021, Wissenschaftliches Personal

For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes”.

For our team, we are looking for a full-time

The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting, and cutting-edge environment, we are looking for a PhD candidate on the topic of “Automatic recognition of building attributes”. This PhD position is funded through a cooperation with the Munich Re group, a multinational insurance company.

Tasks Your duties will include:

• Literature research
• Designing, implementing, and evaluating novel machine learning approaches to detect building attributes from remote sensing imagery (e.g. roof material and condition, wall materials, type of building)
• Generating results from these algorithms for areas requested by our industry partner
• Documenting and packaging the developed code
• Publishing the developed approaches in international journals and conferences

Promising applicants have:

• A master’s degree in Computer Science, Geodesy, or related discipline
• Very good programming knowledge, preferably in Python
• Experience with state-of-the-art machine learning or data science technologies
• Experience with remote sensing data is a plus
• Experience with industry projects is a plus
• Solid command of the English language both in written and spoken form (German language is a plus)

We offer the possibility to join a successful research group with outstanding international reputation (see www.sipeo.bgu.tum.de). Since the Professorship is established as a joint venture between TUM and DLR, it offers the attractive combination of university-style fundamental research directly linked to practically relevant major projects and pioneering satellite missions. Depending on the applicant’s profile and qualifications, the salary of the position will follow the TV-L pay scale up to E13. The Technical University of Munich wants to increase the number of female employees, i.e. qualified female candidates are explicitly encouraged to apply for this position. Severely disabled candidates will be preferred if they are essentially similarly qualified and suitable for the position. The position is limited to 3 years with option of extension and can basically also be a part-time position.

Interested candidates please send their documents, including CV and documentation of their academic education to [email protected].

Technical University of Munich
Data Science in Earth Observation
Prof. Dr. Xiaoxiang Zhu
Arcisstraße 21, 80333 München, Germany
Tel. + 49 89 289 22659
[email protected]
https://www.asg.ed.tum.de/sipeo/

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

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Kontakt: [email protected]