[Job-offers-cs] Post-doctoral position in data science @ENS Paris "Laplace Chair 2020"

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	Fwd: Post-doctoral position in data science @ENS Paris 
"Laplace Chair 2020"
Date: 	Sat, 21 Dec 2019 16:34:27 +0100
From: 	Florent KRZAKALA <florent.krzakala at ens.fr>
To: 	fk at espci.fr


Dear colleague,

I would be grateful if you would bring this announcement to the 
attention of strong, creative individuals and encourage them to apply.

---------------------------

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 machine learning, deep learning, theoretical 
statistics, 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 January 31th, 2020 by 
email to laplacechair2020 at gmail.com <mailto:laplacechair2020 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,  Statistical Mechanics, Physics, Biology, etc.) ;
- Three letters of recommendation from senior scientists, to be sent 
directly by email to laplacechair2020 at 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 February 2020.