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PhD position in machine learning and computer vision in Luxembourg


The Publimape project (Public Information Mapped to Environmental Events) funded by the Luxembourg National Research Fund (FNR) studies how to contribute to the exact cartography of a climatic event by combining social data mining with the latest advances in machine learning.
It develops an experimental prototype and applies it to hydrological modelling. Short to medium-term flood predictions are indeed of critical importance in the case of a major meteorological event, and 2D grid models are often used as proxies to perform this task. For testing the new approach, Publimape advocates the construction and assimilation of an additional 2D spatial prediction grid constructed exclusively by exploiting data from social media such as Twitter.
More information on Publimape is available at:
The successful candidate will prepare the PhD under an academic supervision from the University of Geneva, and will work at LIST, in an international project team gathering data analytics and hydrological researchers. As an employee from the LIST, the candidate will benefit from competitive salary and advantages.
The PhD Student’s main mission is to carry out doctoral research towards his/her thesis. The outcome of the thesis is valorised through different streams, namely publications and patents. He/she produces new scientific knowledge aligned with the strategy of the department/unit/group. He/she reinforces the scientific basis of the department/unit/group.
We are looking for a motivated and innovative PhD candidate, with proven skills in software development and prototyping, as well as interest in advanced mathematical and statistical topics. The main tasks of the PhD preparation will be as follows.
The complete job description and application form may be found here:

Last modified: 2017-05-16 22:49:50