5 PhD candidates in artificial intelligence for science (University of 
Amsterdam)
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We are seeking 5 PhD candidates for our AI4Science initiative, a
multidisciplinary collaboration of various research institutes at the Faculty
of Science of the University of Amsterdam (the Netherlands). The 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;
* unraveling chemical structure-property relationships from two-dimensional 
liquid chromatography and mass spectrometry;
* graphical models to understand and predict bird migration in Europe;
* accelerating gravitational wave signal discoveries and analyses with deep 
learning;
* causal discovery to reveal complex gene regulation networks from vast 
transcriptome data sets.

The AI4Science Lab will be part of the Amsterdam Machine Learning Lab (AMLab),
one of the larger groups within the Informatics Institute (IvI), headed by Max
Welling. Scientific directors of AI4Science are Joris Mooij and Bernd Ensing,
and lab manager is Patrick Forré. Each project will be done in collaboration
with experts from the respective scientific domain from various research
institutes.

For further information, see the official job advertisement at:
https://www.uva.nl/shared-content/uva/en/vacancies/2019/09/19-559-five-phd-candidates-in-artificial-intelligence-for-science.html

The application deadline is October 1st, 2019.


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Joris Mooij | Associate Professor
Amsterdam Machine Learning Lab (AMLab)
Informatics Institute | University of Amsterdam
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Science Park 904 | 1098 XH Amsterdam
+31 (0)20.525.8426
http://jorismooij.nl/
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