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Berlin, Germany9 months ago
Work format
Hybrid, Remote
Employment
Full-time
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You will be working in an interdisciplinary team of employees with a strong background in mathematics and statistics. Here are brief descriptions of some projects we have worked on. Estimating the number of solar panels that can fit on a roof (Computer Vision): Using satellite and ground-level imagery of a house, specific roof elements (including obstructions, skylights, etc.) must be automatically detected to determine how many solar panels can fit on it. This includes deriving 3D information from 2D images to determine roof slope. Recognizing, classifying, and inferring the legal force of text paragraphs (NLP): Automatically reviewing thousands of legal documents to classify specific paragraphs and infer their legal force. This includes converting scans to text, developing a labeling scheme (modeling the problem), and automatically recognizing different paragraphs before starting the inference task.
We offer flexible working hours (full-time and part-time) and have a great office with good coffee in Berlin, Schöneberg. We prefer a hybrid work model but are also open to remote work. We believe in science and support you in publishing the results of your research.
You will be working in an interdisciplinary team of employees with a strong background in mathematics and statistics. We offer flexible working hours (full-time and part-time) and have a great office with good coffee in Berlin, Schöneberg. We prefer a hybrid work model but are also open to remote work. We believe in science and support you in publishing the results of your research. Here are brief descriptions of some projects we have worked on. Estimating the number of solar panels that can fit on a roof (Computer Vision): Using satellite and ground-level imagery of a house, specific roof elements (including obstructions, skylights, etc.) must be automatically detected to determine how many solar panels can fit on it. This includes deriving 3D information from 2D images to determine roof slope. Recognizing, classifying, and inferring the legal force of text paragraphs (NLP): Automatically reviewing thousands of legal documents to classify specific paragraphs and infer their legal force. This includes converting scans to text, developing a labeling scheme (modeling the problem), and automatically recognizing different paragraphs before starting the inference task.
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