Research Associate

Abu Dhabi, United Arab Emirates
Monday, 23 March 2020
End of advertisement period
Sunday, 31 May 2020
Contract Type
Full Time

Job Description

The Biology Department at the United Arab Emirates University (UAEU) invite applications for a Research Associate to develop and apply satellite remote sensing for retrieve ecological and hydrological parameters. The remote sensing derived climate and environmental parameters will be used to investigate terrestrial ecosystem impacts in response to hydro-climate variability, environmental and climate constraints. The candidate will be expected to use in-situ, remote sensing data records, and ecosystem modelling, and develop their own research within the overall project framework. The duties for the position will include digital image processing and integration of multi-sensor and multi-scale satellite remote sensing (e.g., MODIS, SMAP, and Landsat) and other geospatial data for extracting vegetation index, vegetation phenology metrics, gross primary productivity, evapotranspiration, SIF, soil moisture, surface temperature, and freeze/thaw metrics; fieldworks for measuring plant phenology, soil moisture, soil temperature, and vegetation biophysical parameters; writing scientific papers and publishing in peer-reviewed scientific journals; giving presentations on research findings.

Minimum Qualification

A MS or PhD in environmental science, biology, eco-hydrology, remote sensing or a related discipline. Demonstrated knowledge of remote sensing fundamentals, including satellite optical-infrared, and microwave remote sensing. Digital image processing and analysis using RS/GIS software environments. Programming ability in IDL, C/C++, R or, preferably, Python. Experience in both Linux and Windows environments. Ability to communicate and interact well with others in a large interdisciplinary research group.

Preferred Qualification

PhD preferred. Proficiency in conducting independent scientific research and demonstrated ability to publish in the peer-reviewed scientific literature. Understanding of numerical methods for data integration and analysis, including machine learning. Interest in research on climate and environmental change impacts on the dryland ecosystem. Experience in ecosystem process modeling. Experience in conducting fieldwork is also desired.

Expected Skills/Rank/Experience

Satellite remote sensing data integration and analysis.

Special Instructions to Applicant

To apply for the position applicant should include: 1) A cover letter; 2) CV; 3) names and contact information for three professional references.

Division College of Science - (COS)

Department Biology - (COS)

Job Close Date 31-05-2020

Job Category Academic - Research Assistant

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