Postdoctoral researcher in operations research for sustainable supply chain management
University of Luxembourg
Luxembourg, Luxembourg  
il y a 6j
source : Academic Media Group International AB

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .

It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.

The University s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

The Faculty of Law, Economics and Finance offers three Bachelor programmes, four Master programmes of Management and Economics and six Masters of Laws (LL.

M.), as well as several continuing education courses. It also includes the Doctoral School in Law and the Doctoral School in Economics and Finance.

Around 2,500 students from 90 different nationalities are enrolled at the Faculty. Academic staff from 18 different nationalities teach at the Faculty, supported by practitioners from the field, visiting scholars and guest professors.

Rooted in Luxembourg but with a European and international outlook , the Faculty counts three departments :

  • Department of Law
  • Department of Economics and Management
  • Department of Finance
  • Teaching and research benefit from the proximity of the European institutions, Luxembourg’s leading international financial centre and its vibrant business community.

    Institutional and private sector partnerships, sponsored Chairs and a growing network of international partner universities make the FDEF a vibrant academic hub at the heart of Europe .

    The selected candidate will work within the Luxembourg Centre for Logistics and Supply Chain Management (LCL) () which is part of the Massachusetts Institute of Technology (MIT) Supply Chain And Logistics Excellence (SCALE) network (https : / / scale.

    mit.edu / ). The LCL is a hub for logistics and supply chain research and education and seeks to make an impact both in practice and in the academic community.

    This post-doc position will be in collaboration with a leading global industry partner.

    Your Role...

    The research conducted by this post-doctoral researcher will be in the area of sustainable / carbon efficient supply chain design for supply chains.

    The basic decisions in the area of supply chain optimization are the determination of the optimal product mix, i.e. which products should be produced in which plants, at which point in time and in which quantity.

    In search for this product mix, various constraints on the sourcing, production and demand side that restrict the decision possibilities must be taken into account, such as limited raw material availability, limited production capacity and minimum sales quantities due to contractual obligations.

    The idea of this project is to develop methodologies and a prototype tool that decision makers can use to make fact-based trade-offs between profitability and sustainability for complex value chains in uncertain business environments.

    The approach must be able to appropriately and efficiently quantify the existing uncertainties and generate robust solutions clearly visualizing the involved trade-off between the two competing objectives.

    The industry partner will provide real data and their network will be used as a case-study for the proposed methods. The successful candidate will therefore work closely both with researchers at the LCL and selected experts at the partner company.

    Under the direction of Professor Joachim ARTS :

  • Conduct research in the formulation and efficient solution of mathematical programming models for sustainable supply chain design Data collection and analysis of costs and carbon footprints of supply chain activities such as production and transportation.
  • Data collection and analysis of uncertainty in demand and other model parameters Development of several mathematical formulations of supply chain design problems Development of algorithmic tools to solve complex and industrial scale optimization problems Analysis of results

  • Publication of articles in scientific journals such as Operations Research, European Journal of Operational Research, IISE Transactions and other high caliber international peer reviewed journals
  • What we expect from you

  • PhD in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics or a closely related discipline
  • Experience writing code in languages such as Java / C++ / C# or scripting languages such as Python / Matlab / Julia / R.
  • Experience with solvers such as Gurobi / CPLEX / COIN-OR is an asset

  • Ability to translate between mathematical models and practical business implications
  • Ability to communicate with academic and industrial stakeholders and align interests
  • Ambition to publish in highly ranked journals and an understanding of what it takes to do so
  • Experience with stochastic programming / robust optimization and algorithms such as Benders decomposition and Dantzig-Wolfe decomposition is an asset
  • Linguistic skills to evolve in a multilingual environment : fluency in English; good understanding of a second language and possibly a third language, German or French in particular, would be considered an advantage
  • We Offer...

  • An excellent research environment with access to MIT-SCALE resources
  • The opportunity to work on a real problem with real data that has both academic and industrial impact
  • Integration into one of Europe’s most international universities
  • Excellent facilities including personal work space at the University
  • Attractive remuneration package
  • In Short...

  • Contract Type : Contrat à durée déterminée 24 Mois
  • Work Hours : Temps plein 40.0 Heures par Semaine
  • Location : Kirchberg
  • Job Reference : UOL04182
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