RMS - Modeler - Remote Sensing

Modeler - Remote Sensing

Education I the main criteria for the Job Role-B.Tech (C.S)+M.tech or MSc ( Remote Sensing, Geoinformatics)

Key Skills : Image Processing, Algorithms, Machine Learning

Institute- IIT Roorkee, Mumbai, Kanpur, Tehri

Objective of the Role:

- The candidate will be extensively involved in all the production activities from remotely sensed data and support the integration of resultant products into a GIS environment for exposure models for modeled countries.

- Maintain and deliver the geospatial data and data components on time with highest quality. Particular skills in programming, numerical/statistical analysis, computing, databases etc. would add value.

Key Accountabilities & Deliverables :

- Subject matter expert in the field of remote sensing technologies

- Overall responsible for quantitative and qualitative analysis of satellite/ aerial images

- Responsible for process enhancement initiative to meet the requirements for exposure models

- Involve in applying geospatial, remote sensing and other supportive domain knowledge in deriving additional data sources for exposure model development

- Establishes credibility by thought partnering on geospatial topics; takes positions and draws conclusions on a range of external and internal issues

- Provide professional skills necessary for all phases of data analysis, including the application of image processing methods for conducting analysis, QA/QC/, documentation and presentation.

- Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)

- Serve as an active participant/lead on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports.

Experience Required :

- Post Graduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute

- 3 to 5 years of total experience in developing geospatial data and data components for catastrophe risk insurance industry

- Research, collect, analyze and consolidate available datasets (Land Use and Land Cover - LULC - layers, building footprints, industrial facility polygons, road networks etc.)

- Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using image processing software, GIS software, or statistical analysis software.

- Sound knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation

- Critical thinking skills and hands on experience in data interpretation, formulating hypotheses and being able to make educated guesses when data may be sparse or unavailable

- Strong documentation skills with experience of working on MS Word, Excel (advanced knowledge such as using pivots, filters, using external data etc.), PowerPoint and Project

- Excellent communication skills and ability to independently lead and drive projects

Technical Skills :

- Extensive hands on and deep understanding in remote sensing technology (classification, segmentation, change detection, DE correlation algorithms) for identifying the classes/ objects in hyper/multi - spectral satellite/ aerial images

- Strong working knowledge of ENVI and ESRI GIS software products and hands on exposure to open source platform such as QGIS, GRASS etc.

- Should be familiar with Google Earth Engine and Open Street Map

- Sound knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation

- Must have programming skills in Python, VB.Net and SQL

- Quick leaner for new technologies, programming techniques, languages, and operating systems is a must