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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Computer Engineering and Microelectronics / Remote Sensing Image Analysis Group

Research Assistant - salary grade E 13 TV-L Berliner Hochschulen

under the reserve that funds are granted - part-time employment may be possible

Work­ing field:

The huge number of recent Earth observation satellite missions has led to a significant growth of remote sensing (RS) image archives with multi-source/multi-modal RS images (multispectral, hyperspectral and SAR). Research activity of the successful candidate will focus on development of accurate and scalable multi-modal remote sensing image indexing and retrieval methods for massive RS archives. In particular, the successful candidate will develop novel deep hashing networks that will extract and exploit complementary information among different RS image modalities for their accurate characterization with small number of (weakly) annotated images. This research activity is a part of the ERC-funded project: BigEarth - Accurate and Scalable Processing of Big Data in Earth Observation (http://bigearth.eu/index.html).

Require­ments:

  • Successfully completed university degree (Master, Diplom or equivalent) in computer science, engineering, or mathematics.
  • Extensive knowledge on methods and theory of machine learning, deep neural networks, application of machine learning methods on high-dimensional data.
  • Very good experience with at least one deep learning framework (tensorflow, caffe, pytorch).
  • Excellent English oral and written communication skills; good command of German is required; willingness to acquire lacking skills in either language

How to ap­ply:

Please send your application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) by email to Prof. Begüm Demir (sekr@rsim.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty 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 - Der Präsident - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Prof. Dr. Begüm Demir, Sekr. EN 5, Einsteinufer 17, 10587 Berlin