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Mengaldo’s Laboratory at the National University of Singapore is looking for a Research Engineer to earn a PhD degree in explainable machine learning for sequential data and time series. The ideal candidate should be proficient in coding and software development, as well as Python, Tensorflow or Pytorch, large-scale sequential-data analysis, neural networks, and explainable AI. The project is in collaboration with universities in Switzerland, Italy, and the United Kingdom, with the primary objective to provide novel interpretability methods for classification and regression tasks using neural networks.
