I. Job Description
●Develop and deploy spatial data analysis models from remote sensing images for agricultural, environmental and urban problems.
● Internally process data from remote sensing images and digitize maps to support research and development projects for agricultural and urban monitoring services using remote sensing and machine learning technologies.
● Develop and optimize geospatial data processing processes and apply machine learning techniques to improve the efficiency of models.
II. Candidate Requirements
1. Knowledge
● Graduated from university with major: Geoinformatics, Remote Sensing
● Having experience in exploiting remote sensing indicators and applying them in a number of agricultural, environmental and urban problems.
● Having knowledge about remote sensing images, having experience in applying machine learning techniques in exploiting, processing and analyzing geospatial data from remote sensing images.
2. Experience
● Know how to use some basic geospatial data processing and analysis software such as ENVI, QGIS, ArcGIS...
● Knowledge and skills in programming in JavaScript or Python.
● Knowledge and experience in analyzing geospatial data from Google Earth Engine (GEE) cloud computing technology is an advantage.
● Having participated in research topics and projects on remote sensing and machine learning applications in the learning and working process is an advantage
● Able to work independently and in a good team
3. Attitude
● Serious, responsible for yourself, work, eager to learn.
● Ready to take on new challenges.
III. Right
● Salary: Negotiable
● Trained in Google Earth Engine
● Fully equipped with working equipment
● Company pays 100% of health insurance, social insurance, unemployment insurance
● Annual travel and vacation Enjoy benefits on holidays: September 2, April 30, May 1, June 1,... 13th month salary bonus and annual revenue bonus
● Enjoy the benefits of filial piety, joy, sickness, maternity, leave,... according to regulations
● Consider salary increase 1-2 times/year.
● Working week 41.5h (8h00 - 12h00 from Mon - Sat morning and 13h30 - 17h00 from Mon - Fri)
