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Annonce

24 février 2020

PhD position in Strasbourg (Sept. 2020) : Interactive collaborative constrained clustering for remote sensing time series analysis


Catégorie : Doctorant


A PhD position is open at University of Strasbourg (ICube lab) - France for September 2020

 

Interactive collaborative constrained clustering for remote sensing time series analysis

Analyzing time series of remote sensing images using supervised methods requires that the classes sought be perfectly known and defined and that the expert be able to provide a learning data set that is sufficient in number and quality. Facing the difficulty of obtaining sufficient examples to efficient remote sensing time series analysis, we propose to develop an interactive method of collaborative clustering under constraints. The idea is to allow the expert to add "on the fly" constraints to guide the clustering process in order to produce clusters closer to the expert's "intuitions" i.e. potential thematic classes. To do so, the expert will be helped by advice or proposals for new constraints issued by the method itself.

Topic: Analyzing time series of remote sensing images using supervised methods requires that the classes sought be perfectly known and defined and that the expert be able to provide a learning data set that is sufficient in number and quality. Facing the difficulty of obtaining sufficient examples to efficient remote sensing time series analysis, we propose to develop an interactive method of collaborative clustering under constraints. The idea is to allow the expert to add "on the fly" constraints to guide the clustering process in order to produce clusters closer to the expert's "intuitions" i.e. potential thematic classes. To do so, the expert will be helped by advice or proposals for new constraints issued by the method itself.

The positions are offered to both foreign and French students who hold a Master degree in computer science. The candidate must have good skills in data analysis and more particularly in supervised or unsupervised classification of time series. Skills in remote sensing image analysis is welcome.

Send your CV, transcript of grades and motivation to Pierre Gançarski (gancarski@unistra.fr) and Thomas Lampert (lampert@unistra.fr)

The deadline to apply is March 31th

Detailed Description: https://recrutement.cnes.fr/en/annonce/898696-70-interactive-collaborative-constrained-clustering-for-remote-sensing-67400-illkirch-graffenstaden



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