Shaping research directions and producing results. Topics include but are not limited to: Crop classification from high resolution satellite images; Vision Transformer (ViT) architectures on Remote Sensing imagery; Attention mechanisms for satellite image representation learning; Disseminating results through scientific publications; Conducting full scale experiments, including real-time implementation, data processing, training, and validation; Using HPC facilities for training large deep learning models; Implementing scalable deep learning solutions for Remote Sensing applications; Providing support in setting up and running experiments on large scale datasets
Requirements:
A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision and Remote Sensing; Broad experience with machine learning algorithms and deep learning concepts
Text:
Research Associate in Computer Vision for Remote Sensing Applications Shaping research directions and producing results. Topics include but are not limited to: Crop classification from high resolution satellite images; Vision Transformer (ViT) architectures on Remote Sensing imagery; Attention mechanisms for satellite image representation learning; Disseminating results through scientific publications; Conducting full scale experiments, including real-time implementation, data processing, training, and validation; Using HPC facilities for training large deep learning models; Implementing scalable deep learning solutions for Remote Sensing applications; Providing support in setting up and running experiments on large scale datasets A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision and Remote Sensing; Broad experience with machine learning algorithms and deep learning concepts
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