5 PhD candidates in artificial intelligence for science at University of Amsterdam in Holland

University of Amsterdam seeking 5 PhD candidates for the new AI4Science initiative, a multidisciplinary collaboration of various research institutes at the Faculty of Science of the University of Amsterdam (the Netherlands). Its aim is to analyze complex scientific data sets by applying data-driven techniques based on recent breakthroughs in machine learning, combined with model-driven approaches that can deal with the specifics of scientific data. It will start off with the following five research projects, each one dealing with the fundamental question of how to recognize and extract the scientifically important information from a large stream of noisy data:

classifying radio phenomena in real time with streaming machine learning (API);
unraveling chemical structure-property relationships from two-dimensional liquid chromatography and mass spectrometry (HIMS);
graphical models to understand and predict bird migration in Europe (IBED);
accelerating gravitational wave signal discoveries and analyses with deep learning (IoP);
causal discovery to reveal complex gene regulation networks from vast transcriptome data sets (SILS).

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5 PhD candidates in artificial intelligence for science at University of Amsterdam in Holland