Postdoc: Remote Sensing for Dust & Air Quality Forecasting

Polytechnicpositions; Doha; Hybrid; QAR 200,000 - 400,000; Full time

Job summary

An academic institution in Qatar is seeking a Post Doctoral Researcher in Remote Sensing. This role involves developing a dust and air quality forecasting system combining remote sensing and data science. Applicants should have a Ph.D. in a relevant field, strong programming skills in Python or R, and experience with GIS and satellite datasets. Join a multidisciplinary team to support public health resilience and climate adaptation in Qatar.

Qualifications

• Ph.D. in Electrical Engineering, Environmental Engineering, Geospatial Data Science, Atmospheric Science, or Remote Sensing.
• Expertise in remote sensing and predictive environmental modeling.
• Strong programming proficiency in Python or R for data analysis.

Responsibilities

• Design comprehensive data collection strategy using satellite imagery and sensors.
• Develop predictive models for dust events and air quality.
• Build a cloud-enabled predictive framework for data processing.

Skills

Remote sensing

Predictive environmental modeling

Python programming

Statistical modeling

Education

Ph.D. in a relevant field

Tools

GIS platforms (ArcGIS, QGIS)

Cloud-based environments (Google Earth Engine, AWS, Azure)

Satellite datasets (MODIS, Sentinel, Landsat)

Job description

An academic institution in Qatar is seeking a Post Doctoral Researcher in Remote Sensing. This role involves developing a dust and air quality forecasting system combining remote sensing and data science. Applicants should have a Ph.D. in a relevant field, strong programming skills in Python or R, and experience with GIS and satellite datasets. Join a multidisciplinary team to support public health resilience and climate adaptation in Qatar.