PhD student position in Operations Management — KU Leuven

3 Apr 2026
Job Information

Organisation/Company

KU LEUVEN

Department

OM/FEB

Research Field

Economics » Econometrics
Economics » Industrial economics
Engineering » Industrial engineering
Mathematics » Applied mathematics

Researcher Profile

First Stage Researcher (R1)

Application Deadline

30 Apr 2026 - 23:59 (UTC)

Country

Belgium

Type of Contract

Temporary

Job Status

Full-time

Offer Starting Date

1 Sep 2026

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Reference Number

BAP-2026-224

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1) suppliers and, at best, a small fraction of its tier-2 suppliers. However, empirical supply networks routinely span 10 to 15 tiers. This lack of visibility creates significant vulnerability: firms cannot anticipate, prepare for, or respond to disruptions that originate deep in their upstream network.
This PhD project aims to develop a formal framework for supply chain visibility and resilience using tools from Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure affects the cost and robustness of supply chain visibility; second, to study what actions a focal firm can take within its local sphere of influence to improve its resilience, including the design of its sourcing strategy; and third, to validate the theoretical framework empirically using real-world supply chain network data.
Results of the research will be communicated through top-level publications in operations research and operations management journals, and through presentations at international conferences. Although the focus is on research, the candidate can be asked to give guidance to Master’s students, to be involved in teaching, and to supervise and correct exams.
•You recently obtained your master’s degree (or you are about to graduate in 2026) in Business Engineering, Mathematics, Operations Research, Industrial Engineering, (Business) Economics, or a similar degree with an equivalent academic level.•You have a strong interest in combinatorial optimization, network analysis, and/or supply chain management.•Excellent results in prior studies are an asset (cum laude — distinction, or higher).•Experience with optimization software (such as Gurobi, CPLEX, or similar) and/or programming languages (such as Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and written English and are equipped with good communication skills.•You are willing to participate in (international) seminars and conferences.•You are willing to enroll in the PhD program of the Faculty of Economics and Business at KU Leuven, which entails 21 ECTS of relevant coursework.•You will also give guidance to students, be involved in teaching activities and in the supervision of exams. •A fulltime PhD position for 1 year, starting 2026, September 15, renewable up to a maximum of four years upon yearly successful evaluations. The work should lead to a PhD degree.•An interesting and diverse job within a dynamic and pleasant working environment, in a group conducting research at the highest international standards.•A social, tolerant, and constructive workplace that offers ample opportunities for personal development.•A correct and beneficial salary.•Numerous opportunities for personal growth, illustrated by e.g., conference participation, “doctoral schools” courses on transferable skills, participation in educational initiatives, and publication opportunities.
Applications should be submitted through KU Leuven’s online platform together with:1.a motivation letter with a statement of skills and research interests;2.a curriculum vitae with at least 2 references;3.a writing sample from the master thesis or relevant (individual) coursework;4.university diploma copies and complete transcripts. For more information please contact Prof. dr. Maxi Udenio Castro, mail: maxi.udenio@kuleuven.be or Prof. dr. Jannik Matuschke, mail: jannik.matuschke@kuleuven.be .

Where to apply

Website

https://www.kuleuven.be/personeel/jobsite/jobs/60650811?hl=en

Requirements

Research Field

Economics

Education Level

Master Degree or equivalent

Research Field

Engineering

Education Level

Master Degree or equivalent

Research Field

Mathematics

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Excellent

Research Field

Economics » Econometrics

Years of Research Experience

None

Additional Information
Benefits

•A fulltime PhD position for 1 year, starting 2026, September 15, renewable up to a maximum of four years upon yearly successful evaluations. The work should lead to a PhD degree.•An interesting and diverse job within a dynamic and pleasant working environment, in a group conducting research at the highest international standards.•A social, tolerant, and constructive workplace that offers ample opportunities for personal development.•A correct and beneficial salary.•Numerous opportunities for personal growth, illustrated by e.g., conference participation, “doctoral schools” courses on transferable skills, participation in educational initiatives, and publication opportunities.
Applications should be submitted through KU Leuven’s online platform together with:1.a motivation letter with a statement of skills and research interests;2.a curriculum vitae with at least 2 references;3.a writing sample from the master thesis or relevant (individual) coursework;4.university diploma copies and complete transcripts.

Eligibility criteria

•You recently obtained your master’s degree (or you are about to graduate in 2026) in Business Engineering, Mathematics, Operations Research, Industrial Engineering, (Business) Economics, or a similar degree with an equivalent academic level.•You have a strong interest in combinatorial optimization, network analysis, and/or supply chain management.•Excellent results in prior studies are an asset (cum laude — distinction, or higher).•Experience with optimization software (such as Gurobi, CPLEX, or similar) and/or programming languages (such as Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and written English and are equipped with good communication skills.•You are willing to participate in (international) seminars and conferences.•You are willing to enroll in the PhD program of the Faculty of Economics and Business at KU Leuven, which entails 21 ECTS of relevant coursework.•You will also give guidance to students, be involved in teaching activities and in the supervision of exams.

Selection process

For more information please contact Prof. dr. Maxi Udenio Castro, mail: maxi.udenio@kuleuven.be or Prof. dr. Jannik Matuschke, mail: jannik.matuschke@kuleuven.be .

Website for additional job details

https://www.kuleuven.be/personeel/jobsite/jobs/60650811?hl=en

Work Location(s)

Number of offers available

1

Company/Institute

KU LEUVEN

Country

Belgium

City

Leuven

Geofield

Contact

City

Leuven

STATUS: EXPIRED

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