COMPANY :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
Job Duties may include, but are not limited to:
• Merging, cleaning and pre-processing panel datasets
• Estimating linear models •
Producing key graphics representing the underlying analysis •
Constructing and estimating structural economic models
Preferred Skills:
• Scientific computing and numerical programming methods
• Optimization methods
• Machine learning methods
• Web-scraping methods
• Textual analysis
Location: ABS has its main campus in Rabat and is a part of University Mohammed VI Polytechnic (UM6P) which is in Ben Guerir, Morocco, near Marrakesh.
This position will be based in Rabat.
The application must contain: 1. A Cover Letter 2. Curriculum Vitae
Required profile :
Required Skills:
• Experience with Python and/or R (including knowledge of packages such as pandas, ggplot2)
• Experience working with panel datasets
• Extensive coursework in economics and statistics
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