An academic in Quantitative Supply Chain Management

Université catholique de Louvain; Belgique; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Public sector pension

Résumé du poste

Université catholique de Louvain seeks a full-time academic position in Quantitative Supply Chain Management. The role spans teaching, research and service within LSM and CORE, contributing to international visibility and supervision of doctoral students.

The successful candidate will model and optimize supply chain systems, publish in top journals, secure funding, and collaborate with industry. Tenure track with ongoing professional development and competitive compensation.

Qualifications

• PhD in Operations Research, Operations Management, Applied Mathematics, Computer Science, Industrial Engineering, Management Engineering, or related field.

Responsabilités

• Teach at bachelor and master levels in English and French across two campuses.
• Develop internationally visible research in supply chain design, planning and operations.
• Supervise doctoral students and participate in CORE and LIDAM activities.

Connaissances

Teamwork

FR/EN bilingual

Communication skills

Formation

PhD in OR or related field

Description du poste

Organisation/Company Université catholique de Louvain Research Field Computer science » Other Economics » Econometrics Economics » Other Engineering » Industrial engineering Mathematics » Applied mathematics Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile Established Researcher (R3) Application Deadline 5 Nov 2026 - 11:00 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Reference: 38664/ LSM 057 / 2027

UCLouvain seeks to recruit

Afull-timeacademic position inQuantitative Supply Chain Management

About us

UCLouvain is the leading French-speaking university in Belgium and is also widely recognised internationally. Founded in the heart of Europe in 1425, the university brings together 40,000 students and 6,000 staff members on nine campuses in Brussels and Wallonia. Research and education activities are organised in 20 faculties, 23 research institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals.

UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis are integrated into courses and the university develops numerous local projects (such as a university farm and sustainable campuses). As a digital university, UCLouvain is involved in open science and education, and trains academics in innovative teaching practices through its Louvain Learning Lab. Thanks to two science parks, the university’s research benefits from interaction with 250 companies and 3 incubators, which is fuelled further by being at the centre of a region driven by technological innovation.

UCLouvain has a strong tradition of international collaboration in both teaching and research. These partnerships take shape through numerous exchange agreements, its firm commitment to the European alliance Circle U. and the network The Guild, as well as the welcoming of a large community of international researchers, supported by the Louvain Welcome Desk.

Within theLouvain School of Management (LSM) and theLouvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM), Social Sciences and Humanities Sector, this position will include the following teaching, research and community service duties:

• Teaching

To develop, in future managers, high-levels skills in methodological aspects of supply chain management, including optimization methods, scheduling, planning, logistics, transportation, sourcing and procurement, risk modeling, and decision‑making under uncertainty. Sourcing and procurement courses will be approached from a quantitative and analytical perspective. The teaching load is delivered in English and French at the bachelor's and master's levels, across the two campuses of the Louvain School of Management (LSM), located in Louvain-la-Neuve and Mons. Overall, your presence will help to expand the capacity for supervising dissertations and diversify teaching approaches, whilst ensuring a stronger interdisciplinary presence.

• Research

Todevelop an internationally visible research agenda addressing complex decisionand optimizationproblems in supply chaindesign, planning,and operations across strategic, tactical, and operational levels, includingsourcing, production, inventory,distribution, and transportation. Representative applications include(but are not limited to)network design,supplierselectionandcontract design,pricing and tariff optimization,production planning and scheduling, inventory control,routing,decision‑making under risk and uncertainty, including reliability and resilienceconsiderations.The research program is grounded in the foundations of mathematical programming, with expectedexpertisein integer optimization, stochastic optimization, robust optimization, and distributionally robust optimization, applied to complexlogisticsproblems.The integration of optimizationwith data-driven approaches,leveragingstatistical and econometric methods to enhance uncertainty modeling and support real‑world decision‑making, is seen as a natural and valued extension of the research agenda.

The successful candidate is expected to play an active role within the Louvain Institute for Data Analysis and Modeling (LIDAM), and more specifically in the Center for Operations Research and Econometrics (CORE), by participating in academic events, publishing in leading journals in operations research and and management science, supervising doctoral students, and actively collaborating with researchers from CORE, and more generally from the Louvain Institute for Data Analysis and Modeling (LIDAM), as well as with those of institutes working in related disciplines such as the Louvain Research Institute in Management and Organizations (LOURIM) and the Institute of Information and Communication Technologies, Electronics, and Applied Mathematics (ICTEAM).

Once tenured, you will carry out various service activities and responsibilities within the institution, such as being a member of a programme committee or examination committee or having management responsibilities within the faculty or research institute.

You will also contribute to serving society, particularly in the economic, social, cultural or development cooperation fields. Finally, you will ensure, through research and teaching activities, the university’s international visibility.

Who we’re looking for

• Education

You have a PhD in Operations Research, Operations Management, Applied Mathematics, Computer Science, Industrial Engineering, Management Engineering, or a closely related quantitative field.

• Experience

You have a proven track record in university teaching, with evidence where possible by formal evaluations.

You have a strong and independent research track record, with publications, or clear potential to publish, in leading international journals in operations research, optimization, or quantitative management science. Experience in securing competitive research funding and supervising doctoral students will be considered a strong asset.

You have supplemented this with an extended stay or significant experience abroad, outside the institution that awarded your doctorate.

• Skills

Youare comfortableworkingas part ofa team ofacademicsand integrate research results into your teaching. Youare capable of conductinghigh‑level scientific research, from obtaining funding toteammanagement. You are creative, open to pedagogical innovation andmultidisciplinary.

Youcancommunicate in French and English. If this is not the case, you undertake toacquirea command of these two languages within two years of taking up yourposition.Knowledgeofotherlanguagesisan asset.

• Specifically

You will bring expertise in the modeling and optimization of supply chain systems, with a research identity anchored in the decision problems that characterize supply chain design, planning, and operations.

Your are able to combine methodological rigor in mathematical programming with a deep understanding of supply chain structures, incentives, and operational realities, and who is potentially able to integrate optimization with statistical and data-driven approaches to support evidence‑based decision‑making in complex supply environments.

Strong expertise in mathematical optimization and algorithmic decision‑making is essential, while experience in data‑driven analytics for supply chain systems is considered a strong asset.

Experience engaging with industry or real‑world supply chain data is considered an asset when it is grounded in and contributes to the development of quantitative models and algorithmic methods for Supply Chain Management.

You will be expected to become an active and contributing member of the research community of CORE and, more broadly, of LIDAM, enriching its methodological culture with a research agenda at the intersection of operations research and quantitative management science, with clear supply chain identity and application depth.

What we offer

Tenure after positive assessment of the probationary period – typically four years. This type of career entitles you to a public sector pension.

Appointment as lecturer or professor according to your previous academic experience, as determined by the Rectoral Council.

Teaching load capped at 90 hours for a full‑time tenure‑track position, and 150 hours once tenured.

An attractive and progressive salary according to seniority and the promotion process.

A start date of 1 September 2027 at the earliest.

An integrated leadership and management training programme, including a range of pedagogical, linguistic and other training courses.

Benefits including transport, family, culture, commercial, etc.

Official policy that supports equal opportunities and promotes diversity within academic and all other categories of staff.

Specific emphasis on a work‑life balance.

Practical Information

Application deadline: 5 November 2026 at noon (UTC+1 Time Zone)
Starting date:September 1st 2027