PhD in Engineering Sciences
Doctoral Program “Complex Systems and Interactions”
Pre-registration for the first year is now open
for the 2026–2027 academic year.
18 SEPT. → 10 OCT. 2026
Research at the heart of major scientific and technological challenges
The Doctoral Studies Center in Engineering Sciences at Centrale Casablanca (CEDoc-SPI-ECC) is opening applications for first-year doctoral enrollment. It offers a scientific environment that promotes high-level research, based on interdisciplinarity and academic and industrial collaborations at both national and international levels.
Why join the ECC Doctoral School?
SCIENTIFIC SUPERVISION
Highly qualified faculty members and researchers within ECC’s research structures.
INTERDISCIPLINARITY
An environment that encourages cross-disciplinary and methodological collaboration.
OPENNESS & COLLABORATIONS
Academic and industrial collaborations, with opportunities for scientific mobility.
PROJECTS & FUNDING
Opportunities to participate in research projects and access scholarships, depending on available programs.
A program designed to develop high-level skills
- Train researchers: generate new knowledge in engineering sciences.
- Master advanced methods: modeling, simulation, artificial intelligence, and optimization.
- Develop collaborative research: through partnership projects with socio-economic stakeholders and national and international academic institutions.
- Strengthen transferable skills: scientific communication, project management, and research valorization.
- Contribute to a world-class research ecosystem: in Morocco and Africa.
Doctoral Program “Complex Systems and Interactions”
For the 2026–2027 academic year, CEDoc-SPI-ECC is opening applications for this doctoral program, affiliated with the ECC Research Center for Complex Systems and Interactions.
It aims to develop high-level scientific and methodological skills among doctoral students, enabling them to design and conduct original research on the modeling, analysis, and optimization of complex systems.
Four Research Areas
Mobility, Energy & Sustainable Development
Challenges related to mobility, energy, and sustainable transitions.
Data Science & Artificial Intelligence
Data processing and artificial intelligence methods applied to complex systems.
Industrial Systems & Services Engineering
Design, analysis, and optimization of industrial systems and services.
Materials & Structures for Sustainable Transitions
Research on materials and structures supporting sustainable transitions.
A Doctoral Program Built Around Research
150
Research Credits
within one of ECC’s research teams
30
Credits for Mandatory Training Activities
Total: 180 credits. The list of mandatory training courses is available on the CEDoc-SPI-ECC website.
2026–2027 PhD Thesis Topics
The thesis topics are proposed by faculty members and researchers from ECC’s research structures, in alignment with the scientific research areas. They cover both fundamental and applied issues and focus on innovative topics related to complex systems and interactions.
Each PhD thesis topic specifies
- PhD thesis topic
- Research project title
- Research Area
- One of the four proposed research areas
- Research Team
- Affiliated research structure
- Supervisor(s)
- Faculty member(s) and researcher(s) involved
- Thesis Director
- Thesis director (HDR)
- Cooperation & Partnerships
- Where applicable, cooperation and partnerships
| Subject Code | PhD Thesis Topic | Research Area / Research Team | ECC Supervisor | ECC HDR Thesis Director | Co-Supervision Partners | ||
| S01-2026 | Modeling, optimization and decision support for multi-flow industrial circularity: application to the decarbonization of territorial cement ecosystems | Industrial Systems and Services Engineering | Dr Afaf JGHAMOU | Pr Fouad RIANE | UPHF Université Polytechnique Haut-de-France | ||
| S02-2026 | Proactive Resilience of Agri-Food Supply Chains Amid Systemic Disruptions: Operationalizing and Empirically Validating an Integrative Framework Grounded in Dynamic Capabilities Theory and Industry 5.0 Technologies | Industrial Systems and Services Engineering | Dr Afaf JGHAMOU | Pr Fouad RIANE | |||
| S03-2026 | Data-Driven Reactive Scheduling in an Industry 4.0 Environment — Hybrid Optimization and Learning Models for the Dynamic Reconfiguration of Production Systems | Industrial Systems and Services Engineering | Pr Fouad RIANE | Pr Fouad RIANE | |||
| S04-2026 | Adaptive statistical learning models for multimodal financial fraud detection | Data Science and Artificial Intelligence | Dr Asmaa BENZMANE | Pr Fouad RIANE | INSEA Rabat – National Institute of Statistics and Applied Economics | ||
| S05-2026 | Development of a Hybrid Digital Twin Based on Finite Element Analysis (FEA) and Deep Learning for the Structural Optimization of 90-ton Freight Wagons | Materials and Structures for Sustainable Transitions / Mobility, Energy and Sustainable Development | Dr Chafik EL KIHAL | Pr Noureddine DAMIL | EMSI Casablanca Moroccan School of Engineering Sciences | ||
| S06-2026 | Hybrid Digital Twin and Self-Adaptive PINNs for Decision Support in Pedestrian Flow Management | Mobility, Energy and Sustainable Development | Dr Aissam JEBRANE | Pr Fouad RIANE | UCA Cadi Ayyad University, Marrakech | ||
| S07-2026 | Improvement of Physics-Informed Neural Networks and Their Variants for Dynamic Modeling and Personalization of Learning Pathways | Data Science and Artificial Intelligence | Dr Aissam JEBRANE | Pr Noureddine DAMIL | UCA Cadi Ayyad University, Marrakech | ||
| S08-2026 | Continual Learning for Understanding Visually Rich Documents | Data Science and Artificial Intelligence | Dr Kawtar ZERHOUNI | Pr Hervé Carrier | LEYTON | ||
| S09-2026 | Causal AI and Constraint-Based Learning for the Safety–Security Assurance of Critical Railway Systems | Data Science and Artificial Intelligence | Dr Kawtar ZERHOUNI | Pr Hervé Martinez | ONCF/SIANA (Morocco TraIndustry) | ||
| S10-2026 | Development of a Predictive and Robust Energy Management System (EMS) for an Urban Hybrid PV–Micro-Wind–Battery–Hydrogen Microgrid: Multi-Scale Optimization, Uncertainty Management and Experimental Validation | Data Science and Artificial Intelligence | Dr Maha ANNOUKOUBI | Pr Hervé Martinez | ENSAM-Rabat ENSAM-Casablanca | ||
| S11-2026 | Self-Adaptive Hybrid Digital Twin for Predictive Maintenance of High-Speed Train Bogies: Integration of Railway Dynamics, Explainable Artificial Intelligence and Continual Learning | Mobility, Energy and Sustainable Development | Dr Khalid DAHI | Pr Hervé Martinez | ONCF/SIANA (Morocco TraIndustry) | ||
| S12-2026 | Surface–Molecule Interactions and Catalytic Mechanisms at the Atomic Scale for Hydrogen Production and Storage: Ab Initio Molecular Dynamics Coupled with Machine-Learning-Trained Force Fields | Mobility, Energy and Sustainable Development / Materials and Structures for Sustainable Transitions | Dr Anouar BELHBOUB | Pr Hervé Martinez | UMI Moulay Ismail University, Meknes | ||
A presentation designed to make it easier for candidates to make their choice
- Identify quickly: the scientific field, research area, and research team.
- Understand the project: with access to the details of the PhD thesis topic.
- View the supervision: with the names of the supervisors, thesis director, and any potential partners.
Mandatory Training
Doctoral students participate in mandatory training activities. The list of these training courses is available on the CEDoc-SPI-ECC website.
2026–2027 Admissions
Who can apply?
The admission competition is open to holders of a Master’s degree or an equivalent recognised qualification.
- Bac+5 Degree
- Academic transcripts
- Motivation letter
- CV
- Baccalaureate certificate
- Letter(s) of recommendation and internship certificates
Timeline
Pre-registration
From Friday, 18 September to Saturday, 10 October 2026
Pre-selection
From Monday, 12 to Thursday, 16 October 2026
Interviews
From Monday, 19 to Thursday, 22 October 2026
Publication of results
Friday, 23 October 2026
Registration
Monday, 26 October 2026
Candidates are invited to regularly check the CEDoc-SPI-ECC website for any additional information or updates to the timeline.
Giving New Momentum to Research in Engineering Sciences
Through its Doctoral School, École Centrale Casablanca provides a training and research environment designed to foster a new generation of researchers and strengthen the links between academic research, innovation, and socio-economic challenges. The aim is to contribute to building a world-class research ecosystem in Morocco and Africa.
Research • Innovation • Impact
Information and Applications
All information relating to PhD thesis topics, mandatory training courses, and application procedures is available on the CEDoc-SPI-ECC website.