October 2018 - ENOG

8th edition of the Winter School on Network Optimization (first announcement)
by Luis Eduardo Neves Gouveia 29 Oct '18

29 Oct '18

The 8th edition of the Winter School on Network Optimization will take place at Hotel Estoril-Éden, Monte Estoril, from the 15th to the 19th of January 2018. Its main objective is to provide an opportunity for PhD students to get together and attend high level courses in the field of Network Optimization. Non-PhD students are welcome to attend the school, but the number of participants is limited and priority will be given to PhD students. In this edition of the school, the lecturers and subjects to be addressed are: Adam Ouorou (Orange Labs) - Robust optimization in telecommunications; Martine Labbé (Univ. Libre de Bruxelles) - Bilevel programming: Stackelberg games and Pricing Problems; Ivana Ljubic (ESSEC, Paris) - Recent Developments on Exact Solvers for the (Prize-Collecting) Steiner Tree Problem; Silvano Martello (Univ. of Bologna) - Packing problems in one and more dimensions; Juan José Salazar-Gonzalez (Univ. de La Laguna) - Models and Algorithms for Vehicle Routing Problems with Pickups and Deliveries. The school is part of the activities of the CMAFCIO (Centro de Matemática, Aplicações Fundamentais e Investigação Operacional) University of Lisbon as well as of the ENOG (European Network Optimization Group). The event is also endorsed by the EURO (the Association of European Societies) and APDIO (the Portuguese OR society). Potential participants are invited to submit their CVs to the address NetOpt2018(a)fc.ul.pt no later than the 31st October . Further information is available in the webpage (http://netopt2018.campus.ciencias.ulisboa.pt<http://netopt2018.campus.ciencias.ulisboa.pt/>)??

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Open Faculty Position in Operations Research at ESSEC
by Ivana Ljubic 10 Oct '18

10 Oct '18

*ESSEC Business School is offering a position of Assistant Professor or Associate Professor in Operations Research for its Paris-Cergy campus, to start in September 2019*. Applicants should have a strong research focus and interests in Mathematical Programming and Discrete Optimization, with a PhD or doctorate in related fields. They should also demonstrate high leadership and autonomy in research and teaching, with publications in high-quality journals in Operations Research. Salary is competitive with the European Business Schools environment. The Professor will join the Information Systems, Decision Sciences and Statistics (IDS) department, and will be part of the OMOR (Operations Management / Operations Research) research cluster of ESSEC Business School that currently gathers 9 permanent members and 10 PhD students (see website /_operations-management-research.essec.edu_/). The applicant should be able to teach both in English and French (or French within 2 years after the appointment), and in various ESSEC Business School Programs (bachelor, master, PhD, and potentially executive education for more senior profiles). Research interests and applications concern, but are not restricted to: prescriptive analytics, data-driven optimization, supply chain management, sustainable operations, network design, facility location, transportation and routing, e-commerce and digital business.Within the Mathematical Programming research field, aparticular focus on decomposition methods for large-scale optimization problemsand/or optimization under uncertainty will be considered as a plus.Ideal profiles combine innovation spirit, technical depth, and a strong interest in linking theory and practice through applications. With its 3 campuses (Paris, Singapore and Rabat), ESSEC Business School is a top European Business School with international and very diverse faculty and student communities. The ESSEC Master in Management is ranked #4 worldwide by the Financial Times in 2018, and #4 in The Economist. The ESSEC Master in Finance is ranked #5 worldwide in the FT. The ESSEC Master in Data Science & Business Analytics (a joint program with Ecole Centrale Paris) is ranked #4 worldwide in the latest QS 2018 ranking. Candidates should send their applications (including a cover letter, a detailed curriculum vitae, a list of publications emphasizing the four most representative ones, teaching and research statement and three recommendation letters) to: Ms Frédérique Jean-Louis, IDS Department Administrative Assistant OR-position2019(a)essec.edu <mailto:OR-position2019@essec.edu> The closing date for applications is *December 18, 2018. *For further information on academic matters and Operations Research at ESSEC, prospective candidates are invited to contact Prof. Laurent Alfandari (alfandari(a)essec.edu <mailto:alfandari@essec.edu>) and/or Prof. Ivana Ljubic (ljubic(a)essec.edu <mailto:ljubic@essec.edu>), IDS Professors of Operations Research and Decision Analytics.

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Deadline extension: special issue on "Developments in Optimization for Smart Cities"
by Cynthia Santos 04 Oct '18

04 Oct '18

*Apologies for multiple postings** Due to many requests, the deadline of the special issue “Developments in Optimization for Smart Cities” *of the International Transactions in Operational Research (ITOR) is extended to *November 15, 2018.* This special issue is devoted to combinatorial optimization problems in the context of smart cities. Please find enclosed the CfP. Papers will be peer-reviewed according to the editorial policy of the International Transactions in Operational Research (ITOR), published by the International Federation of Operational Research Societies (IFORS). They should be original, unpublished, and not currently under consideration for publication elsewhere. Contributions should be prepared according to the instructions to authors that can be found on the journal homepage. Authors should upload their contributions using the submission site http://mc.manuscriptcentral.com/itor, *indicating in their cover letter that the paper is intended for this special issue and in the manuscript center during the submission. * Other inquiries should be sent directly to the Guest Editors in charge of this issue: Andréa Cynthia Santos (andrea.duhamel(a)utt.fr) Christophe Duhamel (christophe.duhamel(a)isima.fr) Sebastián Urrutia (surrutia(a)dcc.ufmg.br) -- Andréa Cynthia Santos Duhamel Maître de conférences ICD-LOSI, UMR CNRS 6281, Université de Technologie de Troyes Troyes, France

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