*of ESSEC Business School (starting sept. 2020)*
The PhD program of ESSEC Business School has transformed its analytics
and management science concentration into « Operations & Data
Analytics », with one specialization to choose among:
1) /Operations Management / Operations Research/, or
2) /Data Analytics/ (including statistics, big data, econometry andrisk
management).
The Operations Management / Operations Research research cluster of
ESSEC hosts 9 professors and researchers. The Data Analytics
specialization is composed of 80% of statistics-related courses (and
well separated from the Operations specialization) with Professors of
the IDS Department.
Selected PhD students are automatically funded for 4 years, with a
stipend of 23000€ a year. PhD courses last for 1,5 year, however
research modules start as soon as year 1, with Professors teaching in
the program. In addition to the PhD Thesis, students will graduate with
an Advanced Master in Business Administration Research of ESSEC Business
School, and possibly a French Doctorat. The course program is 100% in
English.
See PhD website :/http://www.essec.edu/en/program/phd-en/phd-program////
ESSEC Business School is a leading global business school (ranked #4
worldwide for its Master in Management (Grande Ecole) Program by the
Financial Times).
*Deadlines for applying : January 15 (session 1) ; May 15 (session
2).*Beware : GMAT or GRE scores are required, together with TOEFL for
English. See details on the admission file in « Admissions » on the PhD
website. For any question, send an email to : /alfandari@essec.edu
<mailto:alfandari@essec.edu>/
PhD students interested in Operations Research will have the opportunity
of developing their research projects with Professors:
Laurent Alfandari
Ivana Ljubic
Claudia Archetti
Potential topics for the research include (but are not restricted to):
Applications:
·Optimization of routing problems for last-mile delivery services
·Optimization of supply
·Digital operations
·Sustainable operations
·Assortment problems in marketing
·Network design& telecoms
·Energy production and distribution planning
Methods and models:
·Integer Linear or Non-Linear Programming
·Decomposition methods (Benders decomposition, Branch-and-Price,
Branch-and-Cut…)
·Robust optimization
·Bi-level optimization
·Approximation and heuristic algorithms
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