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PhD position in radar signal processing for next generation vehicular networks

Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure.

PhD/postdoc positions in Network Information-Theoretic Sensor Management

We are looking for candidates with a strong background in statistical signal processing, information theory, and good programming skills in Python and/or Matlab. Doctoral and postdoctoral candidates should have a master’s, and respectively Ph.D., degree preferably in signal processing, mathematics, data-science or related fields with a strong quantitative orientation. 

Post-doc in deep learning for biomedical image analysis

We are looking for candidates interested in developing deep learning algorithms for brain-related 2D/3D MRI or microscopy images. Possible topics include image registration, segmentation or the automatic tracking/tracing of neurons in large 3D image data. We also welcome new project proposals related to brain/neuron image data analysis.

Experience in biomedical image analysis is a plus, but not a requirement. This position can be a great opportunity to apply knowledge and expertise from computer vision and/or image processing to new problems in the biomedical field.