"Postdoctoral Researcher"

About UM6P & the Green Technology Institute

Mohammed VI Polytechnic University (UM6P) is a leading hub for research and innovation in Africa, committed to driving economic and human development across the continent. Located in Benguérir’s Green City, our multidisciplinary campus fosters partnerships with industry and government to deliver solutions for a sustainable future.

The Green Tech Institute (GTI) at UM6P specializes in:

• Renewable energy systems (solar, wind, smart grids)
• Advanced digital technologies (Industry 4.0, IoT, automation)
• Green process engineering (circular-economy and low-impact methods)

GTI’s mission is to train tomorrow’s technical leaders and to propel Africa’s transition to a low-carbon economy.

Project Context

We seek a Postdoctoral Researcher to develop decision-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of OCP’s Strategic Business Unit (SBU) Mining initiative to achieve net-zero Scope 1 emissions, aligning with the company’s roadmap for sustainable mining operations.

Key Responsibilities

• Literature Review & Case Definition
• Systematically survey decarbonization technologies in material intralogistics handling and decision-making approaches in mining.
• Select and characterize a strip mining case study; lead data collection and scenario design.
• Techno-Economic & Environmental Analysis
• Compare material intralogistics handling alternatives (IPCC, trolley assist, battery trucks, etc.) via life-cycle cost and emissions modeling.
• Simulation & Optimization Framework
• Build and validate a dynamic simulation model of mine haulage operations.
• Integrate multi-objective optimization to explore trade-offs across cost, emissions, and productivity.
• Decision-Support & MCDA
• Implement a machine-learning-driven multi-criteria decision analysis to rank and select optimal decarbonization pathways.
• Collaborate with industry and academic experts to ground-truth results.
• Dissemination
• Publish in top journals and present findings at international conferences.
• Contribute to workshops and stakeholder briefings on sustainable mobility in mining.

Qualifications

• PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline.
• Strong track record of publications in simulation, optimization, or industrial engineering.
• Proficiency in Python and simulation tools (e.g. AnyLogic, Arena) and optimization solvers (Gurobi, CPLEX).
• Solid background in decarbonization modeling, logistics, and techno-economic assessment.
• Experience with multi-criteria decision making and mining operations is a plus.
• Excellent analytical, problem-solving, and communication skills.

Application Instructions

Please submit the following (PDF format):

1. Cover Letter – Describe your research interests and alignment with data-driven decarbonization of mining equipment.
2. Curriculum Vitae – Include publication list.
3. Reference Contacts – Names and emails for three referees.
4. Research Statement (max 2 pages) – Summarize past work and outline your future research directions in mining decarbonization.

Deadline: Open until filled. Review of applications will begin immediately.

Join us at UM6P-GTI to shape the future of sustainable mining!