CUS - Postdoctoral Researcher in Digital Twins

المغرب
دائم
دوام كامل

قبل 15 يوم

Institution OverviewMohammed VI Polytechnic University is a leading research and innovation institution in Africa, committed to economic and human development. The university places research and innovation at the heart of progress, strengthening Morocco's position at the forefront of global scientific and technological advancements. Located in the Green City of Benguerir, the university aims to make a lasting impact nationally, continentally, and globally by fostering interdisciplinary collaboration and cutting-edge research.Job DescriptionWe are seeking a postdoctoral researcher specializing in digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability.Key Responsibilities

Design and implement digital twins to monitor and optimize urban systems, including infrastructure, mobility, and energy management.
Integrate real-time data from sensors and IoT devices to develop dynamic models.
Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms).
Develop decision-support tools based on simulations for public and private stakeholders.
Contribute to scientific publications and establish partnerships with public, private, and academic institutions.

Required Qualifications

PhD in one of the following fields: smart urban systems engineering, computer science applied to urban infrastructure, data science, or a related field.
Expertise in numerical modeling and simulation for urban systems.
Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker.
Experience in integrating real-time data for dynamic urban system modeling.
In-depth knowledge of IoT sensor networks for collecting and analyzing urban data (traffic, energy consumption, environment).
Strong skills in integrating IoT devices into complex digital systems.
Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis.
Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure.

Personal and Organizational Skills

Ability to model complex systems and identify optimal solutions.
Strong analytical skills to translate complex data into actionable insights for research and decision-making.
Experience working in multidisciplinary teams.
Track record of high-level scientific publications and presentations at international conferences.
Commitment to research excellence.
Interest in African development challenges.
Entrepreneurial mindset, dynamism, and strong organizational skills.
Excellent proficiency in both French and English, written and spoken.

What We Offer

Excellent working conditions and internationally competitive salary.
Opportunity to contribute to high-impact research in Africa.
A dynamic, multicultural work environment with a strong team spirit.

Times Higher Education

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