[Job-offers-cs] Associate Professor in data sciences for optimizing production and logistics (Ecole des Mines de Saint-Etienne in Gardanne, near Aix-en-Provence)

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] Associate Professor in data sciences for optimizing 
production and logistics (Ecole des Mines de Saint-Etienne in Gardanne, 
near Aix-en-Provence)
Date: Thu, 18 Mar 2021 16:11:29 +0100
From: Nabil ABSI via dmanet <dmanet at zpr.uni-koeln.de>
Reply-To: Nabil ABSI <absi at emse.fr>
To: dmanet at zpr.uni-koeln.de

Dear all,

An Associate Professor position in data sciences for optimizing 
production and logistics is available at the Ecole des Mines de 
Saint-Etienne, Centre Microelectronique de Provence (CMP) in Gardanne 
(near Aix-en-Provence in the south of France - Bouches-du-Rhone) - UMR 
CNRS 6158 LIMOS (Laboratoire d'Informatique, de Modelisation et 
d'Optimisation des Systemes).

The Associate Professor will join the department of "Manufacturing 
Sciences and Logistics" (departement Sciences de la Fabrication et 
Logistique (SFL)). The department SFL has 36 staff members, including 8 
faculty, 6 engineers and postdoctoral researchers and 22 PhD students. 
The research activity of the SFL department is part of the research axis 
"Decision-support Tools for Production and Services" (Outils 
Decisionnels pour la Production et les Services - ODPS) of the 
laboratory LIMOS.

The faculty members of the SFL department have been developing strong 
research activity on two main themes for the past fifteen years. The 
first theme "Manufacturing sciences and logistics for microelectronics" 
is mainly concerned with microelectronics manufacturing through the 
modeling, optimization and control of manufacturing at different 
decision levels. The second theme "Production and transport in a digital 
world" develops original models and optimization methods to face the 
challenges of the digital revolution in production and transport. The 
team is developing strong, long-term collaborations with several 
industrial partners (STMicroelectronics, SNCF, DecisionBrain, Cityway, 
SOITEC, etc.). The Associate Professor position falls within the 
mentioned two themes with a focus on Industry 4.0, in particular in 
microelectronics manufacturing, intelligent transport and sustainable 
development.

The candidate must have a PhD in data sciences, applied statistics, 
artificial intelligence or any related discipline (a French 
qualification as a lecturer (qualifications aux postes de Maitres de 
Conferences) is recommended, but not compulsory). Experience in the 
application of data science for supply chain management would be a plus. 
Knowledge of operations research and/or industrial engineering is not 
required, but would be appreciated.

The recruited person will strengthen the research activities of the team 
by bringing expertise in data sciences and engineering. She/He must also 
be able to participate in the definition and conduct of courses in 
applied statistics, artificial intelligence and computer science.

Mastery of English is indispensable. Given the international projects of 
the school, international experience will be greatly appreciated. 
Otherwise, an international mobility should be performed within the 
first three years of the recruitment.

The recruited person must have demonstrated their research and 
industrial transfer capacities (publications, conferences, participation 
in industrial or cooperative projects, etc.). Academic experience in 
connection with industrial projects is highly desirable.

She/He must be able to work in a team, to ensure the link and 
collaboration between actors from academia and industry around common 
research themes and projects.

Application files must be submitted on the RECRUITEE platform on 
***April 23, 2021***

Deposit URL: 
https://institutminestelecom.recruitee.com/o/maitre-de-conference-en-sciences-de-donnees-et-optimisation-sciences-du-manufacturing

  Candidates that are selected for an interview will be informed as soon 
as possible.

*****************

For any information about the position, please contact:

Pr. Nabil Absi, Head of the department SFL

Tel + 33 (0)4 42 61 66 56

e-mail: absi at emse.fr

Pr. Dominique Feillet, Head of the axis ODPS of LIMOS, director of CMP

Tel +33 (0)4 42 61 66 66

e-mail : feillet at emse.fr

*****************

For any administrative information, please contact:

Elodie EXBRAYAT

Tel + 33 (0)4 77 42 00 81

e-mail: elodie.exbrayat at emse.fr

*****************

-- 
Nabil Absi
Professor and Head of the department
Department of Manufacturing Sciences and Logistics
Ecole des Mines de Saint-Etienne
LIMOS - UMR CNRS 6158
Campus G. Charpak Provence
880 route de Mimet
F-13541 GARDANNE
FRANCE

Tel: +33 (0)4 42 61 66 56
E-mail: absi at emse.fr
URL: http://cmp.mines-stetienne.fr/
https://scholar.google.fr/citations?user=2MERbJgAAAAJ