TU Berlin / Faculty of EECS / Remote Sensing Image Analysis Group

Open Positions

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Research Assistant (PostDoc or PhD candidate) - salary grade 13 TV-L Berliner Hochschulen

We are looking for a Research Associate to conduct research and development in the field of deep learning based compression of large-scale satellite images. The goals of this position are:
1) to develop learning-based 3D compression methods where not only spatial but also spectral redundancies are compressed and
2) to explore satellite image analysis in the 3D compressed domain.

For details, please click here.

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Research Assistant (PostDoc or PhD candidate) - salary grade 13 TV-L Berliner Hochschulen

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.

For details, please click here.

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Research Assistant (PostDoc) - salary grade 13 TV-L Berliner Hochschulen

The Remote Sensing Image Analysis Group is seeking a highly motivated Postdoctoral Researcher with a strong record of accomplishment in machine learning and computer vision. 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 scalable image search, retrieval and classification. This research activity is a part of the ERC-funded project: BigEarth – Accurate and Scalable Processing of Big Data in Earth Observation
For details, please contact Prof. Dr. Begum Demir.