[Job-offers-cs] Post-doctoral position in data science @ENS Paris "Laplace Chair 2019"

Pekka Orponen pekka.orponen at aalto.fi
Wed Dec 12 20:24:08 EET 2018


-------- Forwarded Message --------
Subject: 	Fwd: Post-doctoral position in data science @ENS Paris 
"Laplace Chair 2019"
Date: 	Wed, 12 Dec 2018 18:58:49 +0100
From: 	Pierre-Simon Laplace <laplacechair2019 at gmail.com>
To: 	Pierre-Simon Laplace <laplacechair2019 at gmail.com>


The Ecole Normale Supérieure (ENS Paris) invites applications for a 
Junior Research 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.

More information on https://data-ens.github.io/jobs/

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. Applications 
should consist of a single file and be send before December 31th, 2018 
by email to laplacechair2019 at 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, Cognitive 
science,  Physics, Biology, etc.) ;
- Three letters of recommendation from senior scientists, to be sent 
directly by email to laplacechair2019 at gmail.com .

More information about the scientific environment 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 2019.



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