Scientist in Spatial remote sensing and environmental modelling Contrat : CDI

The Digital-LAB of the DICE has already developed several digital platforms related to the environment, with a special focus on agricultural land/water management. As part of the development of our activities in this context, we are looking for a candidate specialized in remote sensing and environmental modeling, with significant experience in the integration of numerical environmental datasets. The ideal candidate will have at least 4 years of professional experience as an expert in spatial remote sensing and geographic database processing, mainly in the fields of agriculture, biodiversity or environment. The candidate will be responsible for developing a methodology for producing thematic maps using remote sensing, GIS, and ancillary datasets, and for developing model-based approaches such as physical models, machine learning, artificial intelligence, and multi-agent modeling. This position offers a unique opportunity to contribute to the development of new approaches to natural resource management and decision making based on digital data and spatial remote sensing. It is an exciting opportunity for a motivated researcher to play an active role in solving complex environmental challenges in Africa.

The main responsibilities of the successful candidate will be to - Apply techniques for downloading and processing satellite imagery of varying spatio-temporal resolution to produce thematic maps. - Apply statistical and geostatistical techniques to analyze complex environmental data. - Implement advanced time series processing techniques such as filtering, decomposition, correlation analysis, and forecasting. - Use multi-resolution data fusion approach. - Develop and/or apply land cover change models relevant to environmental dynamics mapping and natural resource analysis using classical or machine learning algorithms. - Develop a methodology for collecting spatial and attribute data to create a local database. - Develop a methodology for accessing large geospatial datasets for environmental applications. - Prepare MOOCs on spatial remote sensing, GIS, and classification models. - Collaborate with other team members to conduct a bibliographic review of their current projects. - Collaborate with master, PhD students and with post-docs. - Contribute to the training and pedagogical supervision of students doing their PFE internship. - Write progress reports on ongoing projects within the team. - Research and/or respond to project proposal within the team's area of expertise. -Write and publish the results of research projects in the form of scientific articles in internationally recognized scientific journals.

Application should be sent in a single electronic zipped folder which contain: 1) A detailed Curriculum vitae with a full list of publications, 2) A cover letter clearly stating your interest in the position, 3) a copy of the PhD and a copy of a project report in which the applicant has already been involved.

- Ph.D. in remote sensing, geomatics, environment or related field - Solid experience in spatial remote sensing, geospatial and environmental data processing - At least two years of postdoctoral research experience in thematic mapping from very high-resolution satellite imagery and/or geospatial data processing, with at least one publication. - Experience in digital platform development for research projects - Experience in field data collection over Morocco. - International experience in multi-partner projects. - Excellent programming and data processing skills, especially in Python, R and Matlab. - Knowledge of Geographic Information Systems (GIS) and image processing software such as ArcGis, ENVI, eCognition, QGIS, Abc-Map, SNAP, PolSARpro. - Ability to work with spatial databases and use database managers such as PostgreSQL and POSTGIS. - Ability to work effectively with experts in different fields. - Good written and oral communication skills in English and French. - Enthusiasm for generating new ideas. - Proactivity in project meetings with international partners, - Ability to write regular project reports. - Teamwork, stress and priority management.