Research Associate

Description

Position Overview

We are seeking one postdoctoral fellow for upscaling GHGs fluxes using remote sensing. The project aims to use passive (hyperspectral and multispectral) and active (SAR) remote sensing imagery to evaluate the spatial distribution and quantify the greenhouse gas emission in the Arabian Peninsula. The main focus of the planned research activities is the development of evaluation methods for the derivation of CO2 and methane information from satellite data and their application. The project includes physics-based models combined with Artificial intelligence.

Position Requirements

• Very good knowledge and relevant experience in at least one of the following fields: Satellite remote sensing, radiative transfer, inversion theory, greenhouse gas measurements, numerical modelling of complex systems
• Experience in analyzing data from various satellite sensors, e.g., SeaWiFS, MERIS, MODIS, etc.
• Experience in advanced processing regional GHGs data using, ENVI-IDL, Matlab, Python and/or other data processing software packages.
• Evaluating and recalibrating satellite-based algorithms using in situ measurements.
• Appropriate skills in batch processing large data sets and satellite database management.
• Hands-on experience in using ESRI software ArcGIS Desktop and ability to integrate imagery with other GIS data.
• Demonstrated ability to publish research findings in peer reviewed journals.
• Excellent communication skills in English scientific writing/publishing and presentation.

Qualifications

Candidate Profile

Essential Criteria

• PhD degree or equivalent in a suitable field, e.g., computer science, data science, atmospheric sciences, physical sciences, mathematics, engineering, ecology (also applicants near the completion of the degree will be considered) 
• Strong interest in the field of satellite remote sensing of the atmosphere
• Very good knowledge and relevant experience in at least one of the following fields: Satellite remote sensing, radiative transfer, inversion theory, greenhouse gas measurements, numerical modelling of complex systems
• Proven track-record on writing scientific publications
• Ability to carry out independent, systematic, well-organized research work as well as work as part of a team 
• Very good programming skills in at least one high-level programming language (ideally Python) and good Linux skills (including shell scripting)
• Good communication skills
• Good spoken and written English language skills

Desired Criteria

• PhD gained from a top 200 QS or THE ranked University
• At least 2 years of relevant experience as a Post-doctoral researcher in academia or in industry
• High impact first-author publications in top 10% journals in the relevant field

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ([email protected] ).

Primary Location: KUK – Khalifa University
Job: Research Associate
Schedule: Regular
Shift: Standard
Job Type: Full-time