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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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entering and working in Denmark. You may also visit WorkinDenmark for additional information. Further information about The Faculty of Engineering. Application procedure Applicants are advised to read
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emissions under farm conditions. The role combines fieldwork, laboratory assessment, operation and maintenance of gas measurement systems, and integration of results into emission models and mitigation
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers
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the Photonic Integrated Circuit based Systems (PICSys) group. You will work in a state-of-the-art environment for advanced optical and digital signal processing, and integrated photonics, with access to one
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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models