PhD Candidate - Supply Chain Management and Life Cycle Management of Standardized Logistics Assets - CDD 36 months
- POST ENVIRONMENT
Its positioning in terms of training and research places IMT Mines Albi as a reference school on three of the four themes of the Institut Mines\-Télécom: responsible future industry, energy, circular economy and society, and engineering, health and well\-being.
The doctoral position is hosted by the Industrial Engineering Center of IMT Mines Albi. The center develops research on the modelling, design, control and evaluation of industrial, logistics and socio\-technical systems, with a strong emphasis on decision support, performance assessment and industrial transfer.
The PhD will be carried out in the context of a collaborative research project with Airbus. It will address the design, management and evaluation of standardized logistics assets in a complex aerospace supply chain linking suppliers, regional warehouses, marketplaces and final assembly lines across a multi\-continent network.
2\. MAIN MISSIONS AND ACTIVITIES
- Scientific positioning and research objectives
The research will use Physical Internet principles to address the standardization, modularity, mutualization and coordinated management of logistics assets. The expected contribution is a decision\-support framework for designing and evaluating standardized asset portfolios and their associated closed\-loop logistics strategies. During this PhD you will :
- Define the scientific scope of standardized logistics assets and transform mutualized packaging into a measurable decision object.
- Design or assess a portfolio of standardized assets by clustering part families, compatibility requirements and logistics constraints.
- Model closed\-loop logistics networks connecting suppliers, regional warehouses, marketplaces and final assembly lines, including return, cleaning, repair or requalification loops when relevant.
- Dimension the circulating fleet of standardized assets under demand, lead\-time, loss and damage uncertainties.
- Evaluate alternative strategies through multi\-criteria decision analysis covering cost, CO2 emissions, service level, lead time, storage surface and stakeholder impacts.
- Explore governance and traceability scenarios, including collaborative and less collaborative assumptions, to assess their influence on the feasibility and benefits of mutualization.
- Build a baseline of current physical flows, asset flows, cost drivers, storage needs, return times and performance indicators.
- Develop data analytics and clustering approaches to identify candidate families for standardization and mutualization.
- Develop discrete\-event simulation models to compare closed\-loop asset management strategies and stress\-test them under variability, peak demand, perturbations, losses and return delays.
- Integrate life\-cycle management, carbon accounting and multi\-criteria evaluation into the decision\-support framework.
- Produce scientific publications, project deliverables, prototype models or dashboards, and recommendations for industrial deployment.
- Participate in project meetings, field interactions with Airbus, academic seminars and international conferences.
Minimum required level of training and/or experience:
- Master's degree, engineering degree or equivalent degree in industrial engineering, supply chain management, logistics, operations research, production systems, data science, simulation, decision sciences, or a related field.
- A strong academic record and a clear motivation for doctoral research in close interaction with industrial partners.
- Knowledge of industrial engineering, supply chain management, logistics systems, simulation and decision\-support methods.
- Interest in Physical Internet concepts, closed\-loop logistics, reusable assets, sustainability assessment and industrial transformation.
- Initial experience with discrete\-event simulation, data analysis, clustering, carbon accounting, life\-cycle thinking or multi\-criteria decision analysis would be appreciated.
- Programming skills in Python, R, simulation software or equivalent tools would be an asset.
- Good written and oral communication skills in English. French language skills are expected in order to have direct conversations with the field.
- Ability to structure an open industrial problem into research questions, models, hypotheses and evaluation protocols.
- Capacity to work autonomously while interacting regularly with academic and industrial partners.
- Analytical rigor, curiosity, capacity for synthesis and attention to operational relevance.
- Ability to communicate results to both scientific and industrial audiences.
- Application package: curriculum vitae, cover letter, academic transcripts, Master thesis or report if available, and contact details for references.
- Applications may be done on : June 15, 2026
- The position includes opportunities to work with Airbus, to attend international conferences, and to undertake an academic exchange at a European partner institution, depending on the progress of the thesis and project opportunities.
- Possible teaching involvement at IMT Mines Albi may be considered, depending on the candidate profile and institutional needs.
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