[DMANET] PhD in Algorithms for Star Discrepancy Problems

We are looking for a PhD candidate to do research on efficient
algorithms for star discrepancy problems at LIP6, Sorbonne Universite,
Paris, France. Extended research visits to the University of Coimbra,
Portugal, are also possible.

Star discrepancy measures how regularly a set of points is distributed
in a given space. Point sets of low star discrepancy have several
important applications including Quasi-Monte Carlo integration,
financial mathematics, optimization, design of experiments, and many
more. The main goal of this PhD project is the design and the analysis
of efficient algorithms to address the discrepancy subset selection
problem, that is, to find a subset of a point set that minimizes star
discrepancy.

The PhD student will be supervised by Carola Doerr from LIP6, Sorbonne
Universite and Luis Paquete from the University of Coimbra. Applicants
are expected to have excellent skills on design and analysis of
algorithms.

The earliest starting date is October 2021. Application deadline is May
16.

More details about the PhD project are available at

http://www-ia.lip6.fr/~doerr/2021-PhD-Discrepancy.pdf

Questions about the position should be sent to Carola.Doerr at lip6.fr
or/and paquete at dei.uc.pt.






--
Luis Paquete | paquete@dei.uc.pt
http://www.uc.pt/go/paquete
Dept. of Informatics Engineering
University of Coimbra, Portugal
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