CV: Remote sensing specialist

 


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Candidate Profile
 Date Submitted:20-09-2017
 Last Modified:27-09-2017 (10:58)
Job information
 Current job:Remote sensing specialist
 Employment Term:Permanent
 Job location:Europe only
 Date available:within 3months
 Industry:Civil Agencies/International Organizations, Satellite Manufacturers and Subcontractors, Satellite Operators, , , Consulting/Engineering Services, Space Tourism
 KeywordsSynthetic Aperture Radar, Oceanography, oil spills, Satellite applications engineer, tectonics, InSAR, D-InSAR, Land cover changes, PhD
CV

EXPERIENCE


Jul 2015 – Present: Synthetic Aperture Radar (SAR) expert, Germany
- Management, processing and distribution of SAR data from Sentinel-1
- Answering user requests regarding Sentinel-1 and other SAR sensors, data and processes
- Research and development of methods and algorithms for the download and use of SAR data for land monitoring and land cover classification
- Document preparation for software and data procurement
- Analysis of software like the SNAP toolbox and other Copernicus services
- Development of methods to combine Sentinel-1 and multi-spectral Sentinel-2 images for the purpose of land cover classification

Feb 2012 –May 2015: Research scientist, University of Bremen
- Designed and implemented the system that automatically estimates the locations of offshore oil seeps from SAR data
- Analysed ocean SAR images from ENVISAT, RADARSAT and ERS-1 for the detection of oil spills, oil slicks and ships
- programmed and analysed images using Python and QGIS
- Analysed the effect of wind on ocean SAR images and oil spills using data from ECMWF
- Published two peer reviewed scientific journal articles and two conference proceedings papers regarding the research conducted
- Won the MARUM award for research in marine geosciences
- Conducted workshops on programming in Python
- Successfully wrote proposals for acquiring conference funding and research stay fundings
- Conducted a three month research stay at Florida, U.S.A

Aug 2010 – Nov 2011: Research Assistant, Oberpfaffenhofen,Germany
- Deformation analysis after the Haiti 2010 earthquake from Synthetic Aperture Radar images of ALSO-PALSAR and TerraSAR-X using techniques like Interferometric-SAR (InSAR) and D-InSAR
- Implementation of programs in IDL
- Analysis of losses experienced in the bistatic phase of the TanDEM-X images with respect to baseline, incidence angle and number of scatterers
- Estimation of height of volume scatterers like trees and agricultural crops from TanDEM-X images


EDUCATION

Feb 2012-Apr 2015: Dr. rer.nat (Ph.D. in natural sciences), Magna cum laude
University of Bremen, Germany

▪ Marine geosciences
▪ Satellite remote sensing of the ocean
▪ Research, development and implementation of methods and techniques to detect oil slicks in ocean SAR images and estimate the location of their geological source on the ocean floor
▪ Preparing scientific documents and articles regarding offshore oil seepage in global oceans

Oct 2009 – Nov 2011: M.Sc.(Master of Science) 1.7 (thesis)
Technical University of Munich, Germany

▪ Earth Oriented Space science and technology (MSc ESPACE)
▪ Main subject: satellite navigation, orbit mechanics, numerical modelling, spacecraft technology, signal processing, orbit and altitude control, electrodynamics, ground and user segment
▪ Third semester elective: remote sensing (photogrammetry and image processing, geoinformation, atmospheric and oceanographic physics)

Aug 2005 – May 2009: B.Tech (Bachelor of Technology) C.G.P.A 7.65
University of Kerala, Kerala, India

▪ Electronics and communication engineering
▪ Main subjects: Radar engineering, satellite and mobile communication, optical communication, artificial neural networks, antenna and wave propagation, digital image processing, digital communication, electromagnetic theory, signal and systems, digital electronics, solid state physics, network analysis, microcontrollers and electronic circuits


PERSONAL SKILLS
Mother tongue(s): Malayalam, English, Hindi
Other language: German B2

Software and computer skills
▪ excellent programming skills in Python, IDL, MATLAB, ENVI
▪ expert knowledge of QGIS and ArcGIS
▪ expert knowledge of using the SNAP toolbox provided by ESA, PCI Geomatics and Genesis(DLR)
▪ expert knowledge of MS Office and Libreoffice

 


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