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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) (https://lcl.uni.lu) 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: Fixed Term Contract 24 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg
• Job Reference: UOL04182

How to apply…

Applications should be submitted online and include:

• A copy of the PhD diploma or a letter indicating the expected defense date
• A detailed curriculum vitae with a complete bibliography of published works
• A research paper
• Transcripts of PhD level coursework
• A brief motivation letter (1 page at most)
• References

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

In return you will get…

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
• Find out more about the University
• Addresses, maps & routes to the various sites of the University

Further information…

For further information, please contact Professor Joachim ARTS: joachim.arts@uni.lu

The Chair in Digital Procurement at the Department of Economics and Management of the University of Luxembourg has an opening for 1 postdoctoral researcher.

The candidate will be affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and collaborate with procurement organizations of Luxembourg’s “CPO Club” (ArcelorMittal, Amazon, Delphi, Ferrero, Leaseplan, SES, Vodafone).

Your Role
The candidate is required to

• conduct research to be published in leading international journals,
• offer a course within the Track in Digital Procurement,
• support the chair with supervising master thesis projects,
• contribute to grant proposals for PPP projects with industry,
• prepare and give presentations at international conferences,
• work self-responsibly and independently.

Your Profile

• a doctoral degree in Operations Research / Operations Management or related fields (e.g. Mathematics, Industrial Engineering, Computer Science),
• interest in topics surrounding digital procurement (digital platforms, analytics, work automation)
• interest in research in decision-making under uncertainty (stochastic programming, robust optimization, reinforcement learning),
• very good programming skills (Python, Java, C++, Julia, …),
• good understanding of data engineering and machine learning,
• good understanding of mathematical and statistical workbenches (Python, Julia. MATLAB, R)
• extensive experience with optimization software (e.g., Coin-OR, Cplex, Gurobi, Mosek, Xpress)
• good command of English (business fluent, written and spoken),
• experience in software development is a bonus.

We Offer

• a multi-national work environment,
• high-level access to industry partners from ArcelorMittal, Amazon, Delphi, Ferrero, Leaseplan, SES, Vodafone,
• access to resources of the MIT Center for Transportation and Logistics,
• generous funding for travel and career development (training, courses, etc.),
• flexible working hours,
• a competitive compensation with 32 days of annual leave .

Contract Details

• Contract Type: Fixed Term Contract 24 months – renewable for a maximum of 60 months
• Work Hours: Full time 40h/week
• Location: Kirchberg
• Internal Title: Postdoctoral researcher
• Job Reference: E-AGR-2024-10-C (to be mentioned in all correspondence)
• Earliest starting date: 2021-06-01

Applications should be submitted online and include:

• motivation letter (1 page),
• detailed curriculum vitae,
• complete transcripts of university studies,
• copy of dissertation or job market paper(s),
• name of three references (including their relationship to the applicant).

For more information concerning this position, please contact Professor Nils Löhndorf: nils.loehndorf@uni.lu

Please apply online through the central recruitment system: https://recruitment.uni.lu . Early application is highly encouraged, as the applications will be processed upon reception.

WU (Vienna University of Economics and Business) combines excellence with responsibility. Its rare triple accreditation by EQUIS, AACSB, and AMBA is a guarantee for the highest quality research and teaching in the fields of business, economics, and business law. WU’s research is characterized by a wide diversity of disciplines practiced at WU, allowing researchers to deal with even the most complex of research questions.

International cooperation is very important to WU, and we encourage and support both faculty and student mobility. WU is also very aware of its responsibility to its students, faculty, and staff and is committed to gender equality, equal opportunities, accessibility, family-friendly working conditions, and sustainability.

WU is currently inviting applications for the position of a full professor ¹ of Sustainable Supply Chain Management from the perspective of Operations Management with a focus on procurement & supply processes at the Department of Information Systems and Operations Management ². Candidates are expected to have established an international reputation as a researcher in their field. Depending on the candidate’s academic credentials, the employment contract can be concluded either as a permanent employment contract or as a fixed-term employment contract with the option of a permanent extension. ³

Further details on the call for applications, including a detailed qualification profile, can be found online: https://www.wu.ac.at/en/careers/job-portal/jobs/professorships.

WU is committed to diversity and inclusion, and qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference. People with disabilities are encouraged to apply and will be supported during each stage of the recruitment process. Candidates’ qualifications will be assessed in the context of their academic age.

WU has been awarded University and Family Audit (Audit hochschuleundfamilie) certification and assists dual career couples. For further details, please see https://www.wu.ac.at/en/careers/job-portal.

¹ employed under salary group A 1 pursuant to the Collective Bargaining Agreement for University Staff [Kollektivvertrag für die Arbeitnehmer/innen der Universitäten], minimum gross yearly salary:
€74,503.80; the actual annual gross salary is subject to negotiation
² https://www.wu.ac.at/en/isom
³ The duration of fixed-term contracts is subject to negotiation.

An der Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg (HSU/UniBw H), Fakultät für Wirtschafts- und Sozialwissenschaften, Professur für Betriebswirtschaftslehre, insbesondere Beschaffung und Produktion (Univ.-Prof. Dr. Dominik Kreß), ist ab dem nächstmöglichen Zeitpunkt eine Stelle einer/eines

befristet für die Dauer von 3 Jahren zu besetzen.

Der Lehrstuhl für Beschaffung und Produktion beschäftigt sich mit der Entwicklung und An-wendung quantitativer Methoden zur Lösung betriebswirtschaftlicher Planungs- und Ent-scheidungsprobleme (Operations Research, Management Science, Data Analytics). Unsere Schwerpunkte liegen insbesondere in den Bereichen Produktion, Logistik und Supply Chain Management. Wir bieten eine umfassende Betreuung in einem offenen und kreativen Ar-beitsumfeld. Dabei legen wir in Forschung und Lehre Wert auf einen konkreten Praxisbezug sowie eine internationale Ausrichtung.

Aufgabengebiet:

• Selbstständige und eigenverantwortliche Mitarbeit in den Forschungsprojekten des Lehrstuhls
• Mitwirkung bei der Anfertigung wissenschaftlicher Publikationen
• Präsentation von Forschungsergebnissen auf internationalen Konferenzen
• Kooperation mit Partnern in Wissenschaft und Praxis
• Lehre im Umfang von grundsätzlich 3,0 Trimesterwochenstunden
• Konzeption und Durchführung vorlesungsbegleitender Übungen und Praktika sowie Betreuung von Studierenden bei schriftlichen Arbeiten
• Die Möglichkeit zur wissenschaftlichen Qualifikation (Promotion bzw. Habilitation) ist gegeben.

Qualifikationserfordernisse:

• Ein mit sehr gutem Erfolg abgeschlossenes wissenschaftliches Hochschulstudium (Diplom (univ.) oder Master) mit quantitativer Ausrichtung, vorzugsweise aus den Be-reichen Wirtschaftswissenschaften, Wirtschaftsingenieurwesen, (Wirtschafts-)Infor-matik oder (Wirtschafts-)Mathematik
• Sehr gute Kenntnisse im Operations Research
• Erfahrungen in der objektorientierten Programmierung sowie im Umgang mit Stan-dardsoftware der mathematischen Optimierung (z. B. CPLEX) sind erwünscht
• Beherrschung der englischen Sprache in Wort und Schrift

Auskünfte bei fachlichen Fragen erteilt Ihnen Herr Univ.-Prof. Dr. Dominik Kreß per E-Mail: dominik.kress@hsu-hh.de.

Das Beschäftigungsverhältnis richtet sich nach den Bestimmungen des Tarifvertrages für den öffentlichen Dienst (TVöD) in Verbindung mit dem Wissenschaftszeitvertragsgesetz (WissZeitVG). Die Eingruppierung in Entgeltgruppe 13 TVöD erfolgt bei Erfüllung der per-sönlichen Voraussetzungen und bei Wahrnehmung aller übertragenen Tätigkeiten.

Die Stelle ist grundsätzlich teilzeitfähig.

Jeder Dienstposten steht Personen jeglichen Geschlechts gleichermaßen offen. Frauen werden bei gleicher Eignung, Befähigung und fachlicher Leistung in Bereichen, in denen sie unterrepräsentiert sind, bevorzugt berücksichtigt, sofern nicht in der Person eines Mitbewer-bers liegende Gründe überwiegen.

Die Bewerbung behinderter Menschen ist ausdrücklich erwünscht. Schwerbehinderte Men-schen und ihnen Gleichgestellte werden bei gleicher Eignung bevorzugt berücksichtigt. Von ihnen wird nur ein Mindestmaß an körperlicher Eignung verlangt. Individuelle behinderungs-spezifische Einschränkungen verhindern eine bevorzugte Berücksichtigung nur bei zwin-gend nötigen Fähigkeitsmustern für den zu besetzenden Dienstposten.

Nähere Informationen über die Universität finden Sie unter der Internetadresse www.hsu-hh.de. Nähere Informationen zur Professur finden Sie unter der Internetadresse www.hsu-hh.de/bp.

Ihre Bewerbung richten Sie bitte mit den üblichen Unterlagen ausschließlich in elektroni-scher Form (pdf-Datei), unter Nennung der Kennziffer WiSo-2121, bis zum 01.07.2021 an:

Hinweis:
Informationen zum Datenschutz im Rahmen des Bewerbungsverfahrens finden Sie auf der Internetseite www.hsu-hh.de unter der Rubrik „Universität – Karriere – Datenschutzinforma-tionen“.

Ohne Angabe der Kennziffer kann Ihre Bewerbung nicht berücksichtigt werden und wird aus datenschutzrechtlichen Gründen umgehend gelöscht.

Umfeld
Das FZI ist eine gemeinnützige Einrichtung für Informatik-Anwendungsforschung und Technologietransfer. Für unseren Forschungsbereich Information Process Engineering (IPE) suchen wir in Karlsruhe zum nächstmöglichen Zeitpunkt für zunächst zwei Jahre einen wissenschaftlichen Mitarbeiter (m/w/d) in Vollzeit.

Aufgaben
Im Forschungsfeld „Logistik und Supply-Chain-Optimierung“ unterstützen wir unsere Projektpartner bei Fragestellungen rund um die Digitalisierung von Logistik und Supply-Chain-Prozessen. Unsere Kernaufgabe ist es, logistische Problemstellungen zu analysieren, zu modellieren und für deren Lösung Optimierungsverfahren zu erforschen und umzusetzen. Die Problemstellungen reichen von strategischen Fragen des Supply-Chain-Design und urbanen Mobilitätssystemen bis zu operativen Aufgaben in der Intralogistik.

Ihre Tätigkeit umfasst:

• Anwendung von wissenschaftlichen Methoden und Ansätzen auf praktische Problemstellungen
• Modellierung und Lösung logistischer Probleme mit Hilfe von Simulation, mathematischer Optimierung und (Meta-)Heuristiken
• Mitarbeit in Industrieprojekten mit möglicher Perspektive auf Projektleitung

Wir bieten

• Einen spannenden Mix aus Forschung und Industrieprojekten in einem interdisziplinären Arbeitsumfeld
• Wirtschafts-/industrienahe Arbeitsumgebung und -organisation
• Angenehme Arbeitsatmosphäre in einem kreativen Team
• Promotionsmöglichkeit am Karlsruher Institut für Technologie (KIT) bei Prof. Dr. Stefan Nickel
• Individuelle Unterstützung bei Ihrer Weiterbildung sowie Möglichkeit zum Besuch intern. Konferenzen
• Der Aufgabe entsprechende Vergütung in Anlehnung an den TV-L sowie attraktive Lohnnebenleistungen
• Flexible, familienfreundliche Arbeitszeitgestaltung

Wir erwarten

• Abgeschlossenes Masterstudium (oder Diplom) in Wirtschaftsmathematik, Wirtschaftsingenieurwesen, (Wirtschafts-) Informatik oder in einem verwandten Studiengang mit dem Schwerpunkt Operations Research oder Algorithmen
• Selbstständiges Denken und hohes Interesse an anwendungsorientierter wissenschaftlicher Arbeit
• Erfahrungen in der math. Modellierung, Umsetzung von Algorithmen oder Simulationstools (z. B. AnyLogic)
• Sehr gute Kenntnisse in einer Programmiersprache (z. B. Java, C++, Python)
• Sehr gute Deutsch- oder Englischkenntnisse

Bewerbung
Wir freuen uns auf Ihre PDF-Bewerbung unter dem Stichwort „RAWLOG2101“ an Frau Sarah Kronenwett, karriere@fzi.de, mit Anschreiben, Lebenslauf, Nachweis über Studienabschlüsse sowie Zeugnisse und Notenauszug.

Fragen zu der Stelle beantwortet Ihnen gerne Herr Dr. Boris Amberg, amberg@fzi.de, +49 721 9654-316.