Quasar is looking for a profile in teledetection to fill in a position working in the SIMBAD project. SIMBAD uses Sentinel-2 images and Artificial Intelligence to map Posidonia meadows in the Mediterranean Sea.
Quasar released a prototype in September 2019
The candidate will be tasked with the following:
- Improve the analysis of Sentinel images
- Improving Machine Leaning models used to extract information from Sentinel images
- Develop, improvement and automation of full analysis pipeline, including conecting the steps and output of the processing to the project Data Base
The requirements for the position are:
- knowledge in the processing of Sentinel images (Sentinel 2 primarily and Sentinel 1 desired)
- Advanced/fluent in Python (NumPy, GDal)
- Intermediate level: Git; SNAP or QGis or other tool for processing georeferenced data
- Basic go, SQL, linux (command line)
- Background in physics, mathematics and large data processing desireable
Those interested please send an email with an attached CV to: contact@quasarsr.com