Optimization and Industrial Engineering at IMT Atlantique (Nantes,
IMT Atlantique (École Nationale Supérieure Mines-Télécom Atlantique
Bretagne Pays de la Loire) is an elite graduate school of engineering
and international research center under the authority of the French
Ministry of Industry and Digital Communication. Resulting from the
recent merger on 1 January 2017 of Télécom-Bretagne and Mines-Nantes,
it is a school of the Institut Mines-Télécom (the leading group in
France for study and research in engineering and management: includes
12 engineering institutes and 1 business school located throughout
Based on 3 different campuses (Brest, Rennes and Nantes), IMT
Atlantique aims to combine energy and digital technology to transform
society and industry through education, research and innovation in
order to become an international reference in this area.
Each year, IMT Atlantique guides approximately 2.300 students in
engineering, Masters of Science and Ph.D. programs. Its research
activities, at the crossroads of business and higher education, are
led by 290 researchers which produce over 1000 publications each year
and 18M € of funded research and development. Its courses are based on
cutting-edge research performed in 6 joint research laboratories:
GEPEA, IRISA, LATIM, Lab-STICC, LS2N and SUBATECH.
The Department of Automation, Production and Computer Sciences (DAPI:
Département Automatique, Productique et Informatique) of IMT
Atlantique is located on the Nantes Campus. The department employs
around one hundred people, forty of which are full professors or
assistant/associate professors (fr. Maître Assistant). The research
topics of DAPI include Control, Robotics, Operations Research,
Industrial Engineering, Mathematical Decision Making, and Software
Engineering. DAPI is a member of the LS2N CNRS research laboratory
(http://ls2n.fr/) recently created from the merging of the IRCCyN and
The candidate will be integrated into the Optimization and Decision
Aiding group of DAPI and the Logistics and Production System (SLP)
Team of LS2N. The research in SLP focuses on analyzing, modeling and
solving optimization and decision making problems which appear in
logistics and production systems at strategic, tactical and
operational levels. The candidate will be asked to focus his research
on domains related to the Factories of the Future (FoF) initiative of
the European Union Framework Programme for Research and Innovation.
Collaboration with the other IMT Atlantique/LS2N team, TASC, in
constraint programming, will be encouraged.
The candidate will teach in the industrial engineering and
optimization curriculum of IMT Atlantique, in particular the IMT
Atlantique engineering programme and/or the MOST international Master
of Science. (Management and Optimization of Supply Chains and
The candidate will participate in education, academic and
collaborative research objectives. He/she will be actively involved in
local, national and international partnerships of DAPI and LS2N.
He/she will be asked to take administrative responsibilities in
teaching programs, research projects or institutional endeavors.
• The candidate will be involved in the IMT Atlantique educational
programs, particularly those of the DAPI the engineering curriculum
and the MOST MSc. Teaching experience in some of the following
subjects is required:
o Industrial engineering
o Design of production systems
o Production planning and scheduling
o Inventory control and demand forecasting
o Combinatorial optimization, robust optimization and decision making
o Metaheuristics, heuristic and exact optimization algorithms
o Programming languages (e.g., Java, Python, C++)
• IMT Atlantique is particularly interested in qualitative and
innovative teaching methods. A strong investment in pedagogical
activities related to his/her courses is expected.
• IMTA trains engineers for a quickly evolving industry. The capacity
of the candidate to teach in this context and propose and supervise
student projects in collaboration with industry is desired.
Research and collaborative projects
The candidate will perform his/her research in the fields of the
Logistics and Production Systems team: design, planning and scheduling
of production systems, optimization of transportation and logistics
networks, risk assessment and control in services and industrial
He/she will develop optimization and decision-aiding tools in the
framework of projects related to Factories of the Future (FoF). This
work will be related to the optimization of production systems,
logistics networks or supply chain, in connection with innovative
communication technology. Research experience in production
scheduling, in particular in a stochastic, robust or dynamic context,
will be appreciated.
The recruited candidate will be expected to publish his/her work in
high-level international journals and conferences. He/she will also be
expected to supervise master and PhD students' research. His/her
research will be conducted through local, national, European, and
Finally, the candidate will be expected to propose collaborative
research projects with industry and contribute to enhancing the
overall reputation of IMT Atlantique.
According to the Maître Assistant status, the candidate must have the
nationality of a European Community country, member of EEC.
He/she will have strong competences in optimization and industrial
engineering as well as:
• Skill and motivation for teaching and research, in particular in
connection with industry.
• Ability to propose, obtain, and participate in research and applied
• Excellent interpersonal skills and ability to work in projects.
• Open-minded, self-assessment capacity.
• Interest and openness to the world of business and innovation in education.
• Scientific publications.
• Excellent practice of English.
• Good computer programming skills.
For further information, contact Alexandre Dolgui, Head of DAPI –
firstname.lastname@example.org – tél : +33 2 51 85 82 18
The deadline for submitting an application is 23 April 2017.
To obtain the complete application dossier, please contact Human
Florence MOULET– email@example.com - tél : +33 2 51 85 83 63
Jean-Philippe ROULLAND – firstname.lastname@example.org –
tél: +33 2 51 85 83 54
Institut Mines Telecom Atlantique
4 rue Alfred Kastler
44307 Nantes CEDEX 3.
Website of Institut Mines Telecom Atlantique: http://www.imt-atlantique.fr
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