The Remote Sensing Image Analysis (RSiM) Group seeks to hire a Research Associate to conduct research and development in the field of explainable machine learning for Earth observation.
The goals are:
1) the development of robust and interpretable machine learning models by incorporating prior knowledge from the application domain on Earth observation;
2) advancement of methods to interpret and explain the predictions of deep neural networks for various Earth observation applications.
Furthermore, the candidate is expected to publish/present the achieved research results.
Please send your written application with the
reference number and the usual documents to Technische Universität Berlin – Die Präsidentin –
Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Prof. Dr. Begüm Demir, Sekr. EN 5, Einsteinufer 17, 10587 Berlin or by email to
sekr@rsim.tu-berlin.de.
Please send copies only. Original documents will not be returned.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage:
https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Prof. Dr. Begüm Demir, Sekr. EN 5, Einsteinufer 17, 10587 Berlin