20th October 2017 : Post-doctoral position in data science @ENS Paris « Laplace Chair 2018 »

---------- Forwarded message ----------
Date: Fri, 20 Oct 2017 12:46:00 +0000
From: Florent KRZAKALA
To: Florent KRZAKALA
Subject: Post-doctoral position in data science @ENS Paris "Laplace Chair 2018"

Dear colleagues

We are looking for excellent candidates in ENS for the Laplace Junior Professor Chair in Data Sciences. 
Please circulate this message as much as possible!

Regards

Florent

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The Ecole Normale Supérieure (ENS Paris) invites applications for a Junior Research and Teaching Laplace chair in data science at the postdoctoral level, funded by CFM (Capital Fund Management) and the ENS.
The chair is named after Pierre-Simon, marquis de Laplace, who between many accomplishments, was one of the early founders of statistical inference and data science.

The Laplace chair aims at recruiting outstanding candidates in all areas of data sciences including theoretical statistics, machine learning, optimization, signal processing, computer science, applied
mathematics and statistical physics, or working on applications to other sciences such as physics, biology, medicine, social sciences or economics.

Appointments will be for two years with a possible extension for a third year. Salary is competitive and the positions are endowed with travel resources.

The successful candidate will carry out research in ENS, with reduced teaching duties which will be adapted. Applications should consist of a single file and be send before December 31th, 2017 by email to
laplacechair2018@gmail.com.

- A cover letter ;
- A complete CV including a list of publications ;
- A research statement (maximum 4 pages in A4 format) taking into account possible interactions with research groups/faculty within the different department of ENS (Computer science,Mathematics,
Physics,Biology, etc.) ;
- Three letters of recommendation from senior scientists, to be sent directly by email to laplacechair2018@gmail.com.

More information about the scientific environnement of this program can be found on the webpage of the Data Science Chair of the ENS at https://data-ens.github.io.

Short-listed candidates will be invited for an interview (video conference) in mid-January 2018.