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Luca Urciuoli

Top university

5 months ago

Doctoral student in Industrial Management and Economics KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Environmental Science

Funding

Available

Deadline

Expired

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Environmental Science
Business
Industrial Engineering
Management
Environmental Sustainability
Logistics Management
Food Insecurity
Resiliency
Optimisation
Economics
Statistical Modelling

About this position

The KTH Royal Institute of Technology invites applications for a doctoral student position in Industrial Management and Economics. This PhD opportunity is part of the EU Horizon project CARES, which aims to enhance the security and resilience of food supply chains facing climate-related and geopolitical disruptions, including armed conflicts. The research will focus on identifying critical food supply chains and developing analytical models to support autonomous adaptation for continuous, resilient, and sustainable replenishment. Empirical data will be gathered and analyzed using a Swedish demonstrator, with active participation from industry and public stakeholders driving sustainable transformation of the food system.

Supervision will be provided by Associate Professor Luca Urciuoli. The position is based at KTH Royal Institute of Technology in Stockholm, Sweden, a leading international technical university renowned for its commitment to sustainability, innovation, and high-quality research. The doctoral student will benefit from a creative and dynamic environment, attractive employee benefits, and a monthly salary according to KTH’s doctoral student salary agreement.

Eligibility requirements include a second cycle degree (master's or equivalent), or at least 240 higher education credits with at least 60 at the second-cycle level. Special eligibility requires at least 60 credits at the second-cycle level in Industrial Economics and Management or directly relevant subjects. English proficiency equivalent to English B/6 is mandatory. Preferred qualifications include an MSc degree in industrial engineering and management or related fields (mechanical, transportation, logistics, management engineering, computer science, etc.), modelling/programming skills, and knowledge of statistical, optimization, and simulation software (e.g., Rstudio, Python, ILOG CPLEX, Anylogic). Familiarity with Agentic AI foundations (e.g., Langchain/LangGraph, AutoGen) is desirable. Previous work experience and strong personal skills are valued.

The position offers full-time employment for up to four years, with the possibility of renewal. Doctoral students are entitled to a workplace with many employee benefits. The research will contribute to advancing the transition towards a sustainable society, with a focus on food system resilience and supply chain management.

Applications must be submitted online via KTH's recruitment system. Required documents include certified copies of diplomas, grades, and language certificates, a CV, an application letter outlining academic interests and motivation, and representative publications or technical reports. Translations into English or Swedish are required if documents are not issued in these languages. Applications must be received by the deadline, 2026-05-27.

For further information, contact Associate Professor Luca Urciuoli at [email protected]. Join KTH and contribute to shaping the future through research, education, and innovation in a diverse and inclusive academic environment.

Funding details

Available

What's required

Applicants must have a second cycle degree (master's or equivalent), or at least 240 higher education credits with at least 60 at the second-cycle level. Special eligibility requires at least 60 credits at the second-cycle level in Industrial Economics and Management or directly relevant subjects. Mandatory English proficiency equivalent to English B/6. MSc degree in industrial engineering and management or related fields (mechanical, transportation, logistics, management engineering, computer science, etc.) is preferred. Modelling/programming skills and knowledge of statistical, optimization, and simulation software (e.g., Rstudio, Python, ILOG CPLEX, Anylogic) are required. Agentic AI foundations (e.g., Langchain/LangGraph, AutoGen) are desirable. Previous work experience and strong personal skills are valued. Certified copies of diplomas, grades, and language certificates must be provided. Translations required if documents are not in English or Swedish.

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Professors

Associate Professor at KTH Royal Institute of Technology

University Name
Country flag

Sweden

Research Interests

Environmental Sustainability

Management

Logistics Management

Resiliency

Food Insecurity