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Offer 290 out of 655 from 24/11/21, 07:52

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

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:

Successful candidate will conduct research and develop advanced deep learning based algorithms for satellite image search/retrieval from large-scale data archives and semantic scene understanding. This will entail the development of novel deep learning models that can address the problems on incomplete, noisy and imbalanced training sets for image search, retrieval and classification.
Furthermore, the candidate is expected to publish/present the achieved research results and to mentor students at the BSc. and MSc. levels.

Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) in computer science, engineering, or mathematics.
  • Research experience with deep learning and explainable AI.
  • Experience in training deep neural networks and are familiar with various network architectures (ConvNets, LSTMs, ResNets, Transformers etc.).
  • Very good programming skills in Python, NumPy / SciPy, PyTorch / TensorFlow are essential.
  • Excellent English oral and written communication skills; good command of German is required; willingness to extend the German language skills.

How to apply:

Please send your written application with the reference number and the usual documents to 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 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 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.