under the reserve that funds are granted - part-time employment may be possible
Participation in the research activities of the Remote Sensing Image Analysis (RSiM) group in the field of machine learning and big data management for earth observation. Development of image search and retrieval methods and systems for querying large-scale satelilite image archives in the compressed domain. Developed methods will aim at enabling accurate and scalable image indexing and retrieval by efficiently characterizing the high-spectral and spatial information. PhD thesis preparation is possible.
successfully completed university degree (Master, Diplom or equivalent) in computer science, computer engineering or a related field
experience in machine learning, distributed systems and database technologies
solid programming skills
familiar with at least one deep learning framework (tensorflow, caffe, pytorch)
excellent command of German and English
How to apply:
Please send your written application with the reference number and the usual documents (in particular complete CV and copies of certificates) to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Prof. Dr. Begum Demir, Sekr. E-N 5, Einsteinufer 17, 10587 Berlin or by e-mail to firstname.lastname@example.org.
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.
Please send copies only. Original documents will not be returned.
Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Prof. Dr. Begum Demir, Sekr. E-N 5, Einsteinufer 17, 10587 Berlin