Entreprise
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.
Adresse
Lot 660, Hay Moulay Rachid, Ben Guerir 43150
Poste
About Center for Remote Sensing Applications (CRSA):
The Center for Remote Sensing Applications (CRSA) is a transversal structure within UM6P that aims to develop methods & tools using multi-source remote sensing data in an approach combining remote sensing, process modeling, and field measurements. The CRSA intends to conduct innovative applied research in water, agriculture, and soils. To solve the problems of monitoring and sustainable management of natural resources based on scientific collaborations with high-level international universities. It also aims to provide high-quality training programs for future African experts in remote sensing. For more information: https://crsa.um6p.ma
Missions or tasks:
The candidate will
1) Prepare the dataset
2) test different algorithms used in data fusion
3) test several statistical models to evaluate the robustness and weakness of each algorithm.
Profile recherché
Desired Pre-requisits/skills:
- Last year Master students with experience in big data;
- Experience with R or Python programming;
- Experience in spatial-temporal data manipulation, & data analysis and interpretation;
- Experience in developing, implementing data exploration, sampling, training data generation, model building, and performance evaluation;
- Ability to work and learn autonomously & to work well in a multi-disciplinary team environment.
