École Normale Supérieure Paris, hosted by Tatiana Starikovskaya. The
position comes with a highly competitive salary, a travel allowance, and
carries no teaching responsibilities.
The postdoc researcher will contribute efficient tools for processing
large-scale, noisy string data. One of the main goals of this postdoc is to
understand the limit of computations, and to provide new ultra-efficient
algorithms and data structures for processing such data, inspired by
approaches in hashing and high-dimensional geometry. For more information
about the project, please see
https://starikovskaya.github.io/homepage/parse/.
The post will require a high level of expertise in areas which may include
but not be limited to string algorithms and streaming / property testing
algorithms; a background in bioinformatics will be considered as a plus,
but is not mandatory. A PhD in mathematics, computer science, or
bioinformatics is required.
Applications will be processed starting on October 31 and reviewing will
continue until the positions are filled. Start date negotiable but ideally
by January 2023. To apply, please send your CV and research statement to
starikovskaya@di.ens.fr, and arrange for two reference letters to be sent
to the same address.
For informal discussion about the post you are welcome to contact:
Tatiana Starikovskaya (Assistant Professor at École Normale Supérieure
Paris,
principal investigator of the ANR PARSe project, starikovskaya@di.ens.fr)
Duration: 12 months with a possibility for extension for up to 24 months
Location: 45 rue d'Ulm, Paris, France
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