Descriptio
We are seeking a highly motivated postdoctoral researcher to join our team in an exciting project focused on drought monitoring and forecasting. This position is in The Center for Remote Sensing Applications (CRSA) of the College of Agriculture and Environmental sciences
(CAES) at the University Mohammed VI Polytechnic. This position offers an excellent opportunity to work at the intersection of remote sensing, climate science, and data analytics, contributing to the development of innovative solutions to mitigate the impact of drought on agriculture and water resources.
The successful candidate will lead research efforts aimed at improving the monitoring, prediction, and management of droughts. The focus will be on developing methodologies that combine remote sensing data (satellite and drone) with climate models, machine learning algorithms, and hydrological models to forecast drought events and assess their impacts on ecosystems and agriculture.
Responsibilities
- Conduct research on drought detection and prediction using earth observation data, climate models, and ground-based observations.
- Develop algorithms and workflows for near real-time drought monitoring and early warning systems.
- Integrate data from multiple sources (e.g., precipitation, temperature, soil moisture, vegetation indices) to assess drought severity and its spatial and temporal evolution.
- Collaborate with interdisciplinary teams working on climate resilience, hydrology, and agricultural sustainability.
- Publish research findings in high-impact scientific journals and present at international conferences.
- Contribute to the development of decision support tools for drought management.
Qualifications
- PhD in remote sensing, climatology, data science, hydrology, environmental science, or a related field.
- Strong background in remote sensing and experience with satellite data, especially in agricultural and hydrological applications.
- Expertise in climate modeling, data assimilation techniques, and machine learning applications for environmental monitoring.
- Proven track record of publications in peer-reviewed journals.
- Programming skills (e.g., Python, R, MATLAB) and experience with GIS and remote sensing software (e.g., Google Earth Engine, ArcGIS).
- Strong analytical, communication, and writing skills.
Preferred Skills
- Good programming skills are mandatory.
- Experience with crop modeling and the impact of climate variability on agriculture.
- Familiarity with drought indices such as SPI, SPEI, or SMI, and knowledge of water resource management.
- Ability to work independently and collaboratively in a multidisciplinary research environment.
- Strong knowledge of remote sensing and satellite data processing.
- Expertise in geospatial analysis (using software like ArcGIS, QGIS, Python, or MATLAB).
- Familiarity with cloud computing platforms for EO data analysis (e.g., Google Earth Engine, AWS).
How To Apply
Interested candidates should submit the following documents:
- A cover letter describing research experience and interest in the position.
- A CV, including a list of publications.
- Research proposal for the subject (3 pages max)
- Contact information for three academic references.
Applications will be reviewed on a rolling basis until the position is filled