[SocBiN] Postdoctoral position at École Normale Supérieure Paris on Approximation and Randomised String Processing

[Tatiana Starikovskaya]

The PARSe project funded by ANR (France) opens one postdoc position at 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 at 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 at di.ens.fr)

Duration: 12 months with a possibility for extension for up to 24 months
Location: 45 rue d'Ulm, Paris, France