- ENOG - Euro

PhD and Postdoc Positions in Mathematical Programming at Johannes Kepler University Linz, Austria
by Markus Sinnl 30 Apr '20

30 Apr '20

The Institute of Production and Logistics Management at the Johannes Kepler University Linz, Austria, is inviting applications for PhD and Postdoc positions within FWF and LIT-funded projects in different areas of mathematical programming: *One or two 1- to 1,5-year Postdoc Positions within the project "MOMIP: Multi-Objective Mixed-Integer Programming" (funded by the Austrian Science Fund (FWF)) * The project concerns the further development of generic branch-and-bound based methods for bi-objective and three-objective (mixed) integer optimization problems. For further information please contact Prof. Sophie Parragh (sophie.parragh(a)jku.at) Starting date: as soon as possible. *2-year PhD Position (30 hours/week) within the LIT-funded project "HEROpt - Solution algorithms for hierarchical optimization problems"* The project concerns the development of generic exact solution algorithms for bilevel optimization problems and interdiction problems, as well as algorithms for special classes of optimization problems with a bilevel-type structure, such as competitive facility location problems. For further information please contact Dr. Markus Sinnl (markus.sinnl(a)jku.at) Starting date: August 1, 2020. *3-year PhD position within the FWF-funded project "Hybrid Algorithms for Redesigning MRP"* The project "Hybrid Algorithms for Redesigning MRP" is a joint project with the University of Applied Sciences Upper Austria. The part carried out at JKU mainly concerns the (further) development of two- and multi-stage stochastic optimization models for medium-term production planning and the design and implementation of appropriate optimization algorithms. For further information please contact Prof. Sophie Parragh (sophie.parragh(a)jku.at) Starting date: October 1, 2020. Candidates interested in one or more of the above positions should have * PhD/Master’s degree in Operations Research, Industrial Engineering, Computer Science or a related field * C++/python/Java/Julia programming skills * experience with Gurobi or CPLEX * experience in the implementation of optimization algorithms * a background in mathematical programming (especially mixed integer programming) and optimization * a strong interest in the respective area of the research project. The salary follows FWF-rules for doctoral/postdoctoral candidates: https://www.fwf.ac.at/en/research-funding/personnel-costs/ Participation and presentations at scientific conferences are expected and will be funded. If you are interested in working in a young international research team at one of the nicest campus universities in Austria, only 1 hour and 20 minutes by train from Vienna, please send the following documents * motivation letter * detailed CV * certificates * list of MSc or PhD courses and grades * PhD/Master’s thesis (if in another language than English, a three-page abstract in English) * reference letter from your supervisor * list of publications to plm(a)jku.at <mailto:plm@jku.at>, until May 15, 2020. Please indicate in your motivation letter in which position(s) you are interested. Applications will be considered until the positions are filled. The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with physical disabilities. These applications will be given special consideration.

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OJMO and scientific publishing
by Michael Poss 18 Apr '20

18 Apr '20

Dear ENOG members Some of you may have seen a call for papers for a new and fair open access journal entitled Open Journal of Mathematical Optimization (OJMO <https://ojmo.centre-mersenne.org/>). OJMO is a journal owned by academics and for academics. Its only purpose is to offer our fellow mathematical optimizers a high-quality forum where papers are published in open access free of charge. Hence, the results published in that journal are freely available to anybody. In contrast, the purpose of traditional publishing companies such as Springer and Elsevier is mostly commercial, as summarized in this video: https://www.youtube.com/watch?v=WnxqoP-c0ZE (NOTE: English subtitles can be activated in the settings.) It is up to us to take hold of our publications back! Please stay healthy, Michael.

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Announcing the EURO WISDOM Forum and Webinar on Bias/Fairness and Artificial Intelligence 20th April 2020, 15.00 (UTC+1)
by Sarah Fores 15 Apr '20

15 Apr '20

Dear Working Groups, I would be grateful if you could disseminate the following information to your members. With best wishes. Sarah Following the EURO 2018 Women in Science and EURO 2019 Women in OR sessions, interested members of the OR community are working with the EURO Executive Committee on an initiative to create the EURO WISDOM Forum (Women In Society: Doing Operational Research and Management Science). This initiative restates the need for gender main-streaming and affirms that OR/MS can offer exciting opportunities for all women if they have equal access to resources and adequate training. Gender main-streaming aims to integrate a gender dimension into existing institutions and practices in order to achieve meaningful gender equality. WISDOM is a forum to support, empower, and encourage the participation of all genders in OR/MS within EURO. In particular, it aims to promote inclusivity by the following actions: 1. Advise/make recommendations/highlight best practices to the EURO executive on issues facing women in OR. Such guidelines can be disseminated to EURO member societies and Working Groups. Positive progress, outcomes and activities of member societies can serve as a template for other member societies; 2. Promote championing, networking and mentoring, particularly of women at the early stages of their career in OR; 3. Promote a conversation around how OR can be utilised to help create a diverse and inclusive future. In January 2020, all EURO member societies were invited to nominate one or two members to participate in establishing the EURO WISDOM Forum. At the moment, the WISDOM Forum organising committee (OC) includes 21 members from 10 European OR societies including two EURO representatives, the EURO Vice Presidents Julia Bennell and Claudia Archetti. The chair of the WISDOM OC is Paula Carroll and the Secretary is Annunziata Esposito Amideo, both from the University College Dublin, Ireland. The WISDOM Forum will operate through three subcommittees focusing on Research, Events and Public Relations (PR). The subcommittees chairs are: Research : Paula Carroll, Events : Renata Mansini (University of Brescia ,Italy), and PR: Tatiana Tchemisova (University of Aveiro, Portugal). ====================================== Our first event is a webinar on “Bias/Fairness and Artificial Intelligence”. You can register for the webinar and subscribe to WISDOM Forum updates by emailing WISDOM(a)euro-online.org. Webinar Format * Expert panellists explains data bias in their respective disciplines and application areas (~10/15 minutes each); * Roundtable discussion with audience participation (~15 minutes). Panellists Prof Alan Smeaton is Professor of Computing at Dublin City University, Ireland and a Founding Director of the Insight Centre for Data Analytics at DCU. He will speak on Data bias in automatic image and video captioning and its impact. For more information about Alan see https://www.computing.dcu.ie/~asmeaton/ Dr Claire Gormley is an Associate Professor in the School of Mathematics and Statistics in University College Dublin, Ireland and a Funded Investigator in the Insight Centre for Data Analytics and the VistaMilk research centre. Her research develops novel statistical methods for the analysis of complex data arising from substantive problems. The methods solve applied problems across a range of disciplines, including epigenetics, metabolomics, genomics, social science, sports science and political science. She will speak on Be fair to the models: the importance of assumptions in data analytics and modelling. For more information about Claire see https://people.ucd.ie/claire.gormley; Dr Fintan Costello, is an Associate Professor in the School of Computer Science, University College Dublin, Ireland. His research interests cover a number of different areas in computer science, psychology and maths. His main interests are: biases in human reasoning and decision making; processes of rational inference in cognition; the origins of bias and rationality in human thought; computational models of probabilistic reasoning; computational models of decision making. He will speak on Bias and rationality in human reasoning (and why the same biases apply to AI). For more information about Fintan see https://people.ucd.ie/fintan.costello. Dr Susan Leavy is an Assistant Professor in the School of Information and Communication Studies, University College Dublin, Ireland with research interests in artificial intelligence and digital policy, developing interdisciplinary frameworks for the governance and regulation of machine learning algorithms. She will speak on Gender bias and Artificial Intelligence. For more information about Susan see https://people.ucd.ie/susan.leavy Facilitator Dr Paula Carroll, UCD, Chair WISDOM Forum -- Dr Sarah Fores, FORS Manager of EURO <http://goog_1482421387> <https://www.euro-online.org/web/pages/1/home>

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Winter School Netopt2020 (1st announcement)
by Luis Eduardo Neves Gouveia 06 Apr '20

06 Apr '20

? The 9th edition of the Winter School on Network Optimization will take place at Hotel Estoril-Éden, Monte Estoril, from the 20th to the 24th of January 2020. 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: Arie Koster (RWTH Aachen University) - Robust Network Optimization; Elena Fernandez (Universidad de Cadiz) - Formulations for Location-Routing; Hande Yaman (KU Leuven) - Hub Location Problems; Ivana Ljubic (ESSEC Business School of Paris) - Branch-and-Benders-cut algorithms: modern implementations of Benders Decomposition; Mario Ruthmair (University of Vienna))- Optimization in Social Networks? The school is part of the activities of the 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 netopt2020(a)fc.ul.pt no later than the 31st October. Further information is available in the webpage (http://netopt2020.campus.ciencias.ulisboa.pt<http://netopt2020.campus.ciencias.ulisboa.pt/>) ?

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Assistant professor position at Télécom SudParis (Institut Polytechnique de Paris) (Operations Research/Optimization)
by Walid Ben Ameur 12 Mar '20

12 Mar '20

Dear Colleagues, An Assistant Professor Position in Operations Research/Optimization is opened at Telecom SudParis (Institut Polytechnique de Paris). Telecom SudParis invites applications for faculty positions at the rank of assistant professor (Maitre de conferences) in Operations Research. The expected starting date is September 2020. We are looking for candidates working on optimization (either discrete or continuous) with network optimization as a main application area. Successful candidate is expected to pursue an active research program, teach advanced and introductory classes and possibly supervise undergraduate and graduate students. Candidates are expected to have a proven international research record and postdoctoral experience. A PhD in operations research, computer science, discrete mathematics, optimization or a closely related field is required. The appointed person should be able to teach in the French and the English language. An appointed person who is not francophone, should be able to teach in the French language within a period of at most one year, starting at September 2020. To apply, please send the following application file to recrutements(a)imtbs-tsp.eu <mailto:recrutements@imtbs-tsp.eu> before 30 April: - a motivation letter - a resume - a work notice about past and future activities in teaching and research (the 2 types must be described with the same care for rigor and precision) - names and mails of two qualified persons who can give an informed opinion on the application. For further information about the position, inquiries might be sent to walid.benameur(a)telecom-sudparis.eu <mailto:alid.benameur@telecom-sudparis.eu> and djamal.zeghlache(a)telecom-sudparis.eu <mailto:Djamal.zeghlache@telecom-sudparis.eu>

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INFORMS Telecommunications and Network Analytics Conference (TNAC) 2020 is postponed
by Tawfik, Christine 12 Mar '20

12 Mar '20

Dear colleagues, Due to the rapidly evolving situation related to the Corona virus (COVID-19) epidemic, the organization committee of the INFORMS TNA Conference 2020, in agreement with the steering committee of the INFORMS Telecommunications and Network Analytics Section, has decided to postpone the meeting to a later date. Therefore, we regret to inform you that the conference will no longer take place on the previously scheduled dates (31 March - 2 April, 2020). With the increasing number of infections in Germany and Berlin area, new restrictions are being imposed by a large number of institutions regarding the organization of meetings with external attendees. Additionally, we are aware of the challenges that many of our participants are currently facing with respect to international travels. Amid this uncertain climate of events, the postponement decision has been taken to ensure the health and welfare of our attendees. While these circumstances are outside of our control, we sincerely apologize for any inconvenience this may have caused. For further questions related to individual cases, please write to informs_tnac2020(a)zib.de<mailto:informs_tnac2020@zib.de>. The INFORMS TNA Conference will be rescheduled on the following dates: 30 August - 2 September, 2020 at its original venue at Zuse Institute Berlin (ZIB), in Berlin, Germany. We will be welcoming new scientific contributions in the form of organized sessions/tutorials or single abstracts. The new timeline of the INFORMS TNA Conference 2020 is now announced on our website: http://informs_tnac2020.zib.de/. As we hope for the future situation to improve, we are working to hold the meeting with the highest possible standards and to preserve its international aspect. Best regards, The Organization Committee Thorsten Koch, Conference Chair– Zuse Institute Berlin Haldun Süral – Middle East Technical University Christine Tawfik – Zuse Institute Berlin Inci Yüksel-Ergün – Zuse Institute Berlin

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MESS 2020 ~ Learning & Optimization from Big Data ~ Catania, 27-31 July 2020
by Mario Pavone 20 Feb '20

20 Feb '20

Call for Participation (apologies for multiple copies) ### with kind request to forward it in your contact list (emails, blogs, social networks, etc.)! Thanks ### ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School - Learning & Optimization from Big Data - 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school(a)ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- *** LESS ONCE MONTH LEFT!!! *** ** APPLICATION DEADLINE: 5th March 2020 ** https://www.ants-lab.it/mess2020/application/ MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LIST OF LECTURERS + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK + Swagatam Das, Indian Statistical Institute, Kolkata + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Emma Hart, Edinburgh Napier University, UK + Mauricio Resende, AMAZON, USA + Roman Slowinski, Pozna? University of Technology, Poland + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy More Lecturers will be announced soon. ** SCHOOL DIRECTORS + Pascal Bouvry, University of Luxembourg, Luxembourg + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Students whose algorithm will rank in the first five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** METAHEURISTICS COMPETITION CHAIRS + Raffaele Cerulli, University of Salerno, Italy + Andrea Schaerf, University of Udine, Italy ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** WORKSHOP CHAIRS + Vincenzo Cutello, University of Catania, Italy + Paola Festa, University of Naples ?Federico II?, Italy + Isaac Triguero, University of Nottingham, UK *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school(a)ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school

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PhD Scholarship.
by Francisco Saldanha da Gama 18 Feb '20

18 Feb '20

Dear Members of ENOG, I would like to draw your attention to the following announcement on a PhD scholarship at The Polytechnic University of Hauts-de-France, Valenciennes, France. I thank you in advance for disseminating this announcement. Best regards, Francisco. ____________________________________________ Multi-period stochastic programming models and techniques for logistics distribution systems. In general problems addressed in the literature are more and more complex and integrate more and more information, thanks to the emergence of new technologies. However, studied problems still represent in most of the cases simplified versions of something that happens in the reality. For example, one aspect that is usually neglected in the literature is the aspect of stochasticity. More precisely, it is assumed that all data are given in advance, and there is nothing that could perturb the data. However, in the reality we have the opposite. There is a lot of uncertainty and systems and their data are subject to perturbations and changes. Hence, the aim of this PhD thesis is to further reduce this existing gap between the literature and practice. This would be achieved by proposing corresponding mathematical models and solution frameworks capable to deal with complex, stochastic problems usually encountered in practice. This thesis will focus on an integrated problem of network design and vehicle routing. The first problem to study will be a hub location routing problem. This problem is faced in many large companies like AMAZON, DHL, FeedEX etc. It consists in satisfying the customer demands within a given planning horizon using a distribution network that needs to be constructed and a given fleet of vehicles. The aim is to determine hub and spoke network through which the demands are transferred and to determine vehicles’ routes. Each demand is processed first at a distribution center, then it is transferred to one or more intermediated hubs, and finally to a customer. The transfers through the network are accomplished by the traditional vehicles (e.g., trucks) except for the last mile delivery where the delivery nowadays is accomplished also by (unmanned aerial vehicles) UAVs and electric vehicles. The second problem is a location arc routing problem. The aim of the problem is to simultaneously determine depots (i.e., locations from where vehicles departs and returns to), and design vehicles’ routes so that prespecified objective function is minimized. In addition, all demands located along edges need to be satisfied. In the frame of this thesis we are going to extend the studied problems by considering important aspects usually encountered in the practice: the aspect of stochasticity/ uncertainty that usually occurs in demands and travel times; and the aspect of multi-periodicity where the decisions need to be provided for a given planning horizon. Hence, the thesis will provide a thorough study on a robust network design and vehicle routing planning, with special emphasize on the stochasticity and multi-periodicity of problems under study. Modeling and studying theoretical properties will be the first step in the solution process of a problem at hand. Due to stochasticity/ uncertainty and/or multi-periodicity of the problems, the obtained models will be large scale mixed integer nonlinear problems. Therefore, the exact methods would be used to solve small test cases, in order to validate approach, while for large scale test cases we will be obliged to resort to heuristic solution approaches. In addition, in order to come up with strong upper/lower bounds, hybridization of exact and heuristic solution approaches will be considered as well. The thesis will be done in the framework of scientific collaboration between LAMIH UMR CNRS 8201 - Polytechnic University of Hauts-de-France (UPHF), France and Faculty of Science, University of Lisbon, Portugal. The student will be co-supervised by Francisco Saldanha da Gama (University of Lisbon) and Raca Todosijevic (LAMIH, UPHF). Required competences: - Master degree in Operations Research / Mathematics / Computers Science or equivalent; - Strong knowledge in operations research including metaheuristics and mathematical programming; - Knowledge in stochastic optimization and/or optimization under uncertainty is a plus; - Excellent programming skills (e.g., C/C++, C#, Python, Java); - Knowledge of optimization software (CPLEX, GUROBI, GAMS, BARON etc) is a plus; - A high degree of autonomy and commitment to work; - Strong written and verbal communication skills in English; - Knowledge of French and Portuguese languages are not necessary. Duration: 3 years Salary: around 1450 euros net per month. The candidate will have possibility of teaching at UPHF, which is paid extra. Application: All candidates should send their applications by e-mail to the below contacts. Application must contain: CV, motivation letter, two or more recommendation letters, copies of most recent diplomas along with exam marks. Any other document that may strengthen candidate’s application is welcome. Contacts: Francisco Saldanha da Gama, University of Lisbon, Portugal Email: fsgama(a)ciencias.ulisboa.pt Raca Todosijevic LAMIH UMR CNRS 8201 – Polytechnic University of Hauts-de-France, France Email: racatodosijevic(a)gmail.com , racatodosijevic(a)uphf.fr ______________________________________________________________________________ Francisco Saldanha da Gama, PhD Departamento de Estatística e Investigação Operacional Centro de Matemática, Aplicações Fundamentais e Investigação Operacional Faculty of Science, University of Lisbon, Portugal Phone: +351 217 500 019 | Fax: +351 217500081 | E-mail: fsgama(a)ciencias.ulisboa.pt<mailto:fsgama@fc.ul.pt> http://webpages.fc.ul.pt/~faconceicao www.deio.fc.ul.pt<http://www.deio.fc.ul.pt/> | www.fc.ul.pt<http://www.fc.ul.pt/> | http://www.fc.ul.pt/en/unidade/cmafcio Coordinator of the Undergraduate Program in Applied Mathematics https://fenix.ciencias.ulisboa.pt/degrees/matematica-aplicada-5645004366153… Editor-in-Chief Computers & Operations Research http://www.journals.elsevier.com/computers-and-operations-research

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MESS 2020 ~ Learning & Optimization from Big Data ~ Catania, 27-31 July 2020
by Mario Pavone 11 Feb '20

11 Feb '20

Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School - Learning & Optimization from Big Data - 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school(a)ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- *** ONCE MONTH LEFT!!! *** ** APPLICATION DEADLINE: 5th March 2020 ** https://www.ants-lab.it/mess2020/application/ MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LIST OF LECTURERS + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK + Swagatam Das, Indian Statistical Institute, Kolkata + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Emma Hart, Edinburgh Napier University, UK + Mauricio Resende, AMAZON, USA + Roman Slowinski, Pozna? University of Technology, Poland + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy More Lecturers will be announced soon. ** SCHOOL DIRECTORS + Pascal Bouvry, University of Luxembourg, Luxembourg + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Students whose algorithm will rank in the first five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** METAHEURISTICS COMPETITION CHAIRS + Raffaele Cerulli, University of Salerno, Italy + Andrea Schaerf, University of Udine, Italy ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** WORKSHOP CHAIRS + Vincenzo Cutello, University of Catania, Italy + Paola Festa, University of Naples ?Federico II?, Italy + Isaac Triguero, University of Nottingham, UK *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school(a)ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school

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Associate Professor position in Transportation and Logistics in Nantes, France
by Fabien Lehuédé 10 Feb '20

10 Feb '20

IMT Atlantique is recruiting an Associate Professor in Optimization and AI for Transportation and Logistics in Nantes, France. The selected candidate will join the SLP or TASC team of the Nantes research laboratory in Computer Science (https://www.ls2n.fr/?lang=en) For further information, please see https://partage.imt.fr/index.php/s/8gXRDwY9wB79kCX -- Fabien LEHUÉDÉ - fabien.lehuede(a)imt-atlantique.fr Professor, Head of the Logistics and Production group, IMT Atlantique, Laboratoire des Sciences du Numérique de Nantes (LS2N) +332 51 85 83 21 La Chantrerie 4 rue Alfred Kastler BP 20722 44307 Nantes Cedex 3, France

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