For the Future Lab on Artificial Intelligence in Earth Observation
we are looking for a

Science Manager

About us

AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together with its partners, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. The TUM Chair for Data Science in Earth Observation develops innovative methods for information extraction from remote sensing data. For the BMBF-funded Future Lab on Artificial Intelligence in Earth Observation (AI4EO) hosted by the Chair, we are looking for a senior scientist / science manager for the scientific management of the lab. The Future Lab AI4EO brings 20 renowned international organizations in 9 countries and 27 highly-ranked scientists together to research three fundamental, yet rarely addressed, challenges faced by EO-specific cutting-edge AI research, namely, Reasoning, Uncertainties, and Ethics. In addition, other innovative AI4EO topics will be addressed by our Beyond Fellow program, based on which ca. 70 highly talented PhD and PostDoc researchers will invited to visit our lab. For more details, please visit: ai4eo.de

Requirements

Promising applicants have a PhD degree in mathematics, computer science, machine learning, remote sensing or similar. In detail, we expect:

·       a scientific track record related to the relevant field (AI, machine learning, computer vision, Earth observation)

·       proven skills in management or administration of scientific projects

·       excellent communication skills and team spirit

·       fluent command of German and English language, both written and spoken

What we offer

We offer the possibility to join a highly visible flagship project with connections to both artificial intelligence and Earth observation as exciting and innovative fields of cutting-edge research. Given the international nature of the future lab, the position comes with excellent opportunities for international networking.

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. Pending the approval of the project by BMBF, the position is supposed to be filled as soon as possible. The position is limited to 2 years, with the possibility for a further extension to serve a similar position. Payment is according to TV-L E14 scale.

Interested?

Interested candidates please send their documents, including CV and documentation of their academic education to xiaoxiang.zhu@tum.de.

Technical University of Munich
International Future Lab AI4EO
Prof. Dr. Xiaoxiang Zhu
Lise-Meitner-Str. 9, 85521 Ottobrunn, Germany
Tel. + 49 89 289 22659
xiaoxiang.zhu@tum.de
www.asg.ed.tum.de/sipeo

About Us:

The TUM Chair of Data Science in Earth Observation (SiPEO) develops innovative signal processing and machine learning algorithms to extract geo-information from big geospatial data, ranging from remote sensing satellite data, aerial data, LiDAR to social media data. As downstream applications, we provide large scale and highly accurate geo-information to address societal grand challenges, such as monitoring the global urbanization, climate research and supporting the sustainable development goals of the United Nations. Towards this goal, our chair hosts large scale initiatives, such as the international future lab AI4EO, the national excellence center ML4Earth and the TUM innovation network EarthCare, and thus, offers a close connection to a large AI4EO research team covering a wide range of expertise ranging from machine learning/deep learning, remote sensing and Earth observation, big data analytics, data mining, data fusion, HPC to sustainability. In addition, we offer analysis-ready data on a global scale that are either open and free, such as Sentinels, or accessible through scientific proposals or academic collaborations, such as TanDEM-X and Planet Scope.

Your Mission:

To establish the AI4EO for Social Good working group, our lab offers four open positions for outstanding postdocs and senior scientists (initially for two years with the possibility to prolongate).  Interested applicants shall share the vision of the working group. The main research tasks will be AI4EO for addressing the challenges of our time, building up on the expertise and data available at the chair. The exact topic will be defined jointly by the candidate and Prof. Xiaoxiang Zhu – the PI of the lab.

Interested applicants should have an excellent track record and a PhD in machine learning, computer science, statistics, remote sensing, mathematics or a related discipline. 

Application materials comprise:

−         CV

−         Full set of transcripts 

−         Statement of purpose

−         Briefly state what drives you and what are your goals in applying to the SiPEO lab

−         Names for at least two references (For each reference, please include name, title, and email address. References should expect to be contacted for a reference letter.)

Please submit these documents to zhulab@lrg.tum.de. Please kindly consider that due to the high requests, we will not be able to consider incomplete applications. 

Contact:

Prof. Xiaoxiang Zhu

Technical University of Munich
Chair of Data Science in Earth Observation
Arcisstraße 21
80333 Munich, Germany