About this job

The satellite instrument SPEXone (https://pace.oceansciences.org/spexone.htm) is a multi-angle polarimeter that will be part of the NASA Phytoplankton, Aerosol, Cloud & ocean Ecosystem (PACE)mission, to be launched in 2022. The goal of SPEXone is to provide measurements of atmospheric aerosols in order to better understand climate change. SPEXone is being developed by a Dutch consortium consisting of SRON Netherlands Institute for Space To strengthen our development team, we are looking for a scientist with strong programming skills. Research and Airbus Defence and Space Netherlands.

To strengthen our development team, we are looking for a scientist with strong programming skills.

Please include a motivation letter and CV by your application.

Responsibilities

• Under SRON’s scientific lead, the consortium is responsible for the design, manufacturing and testing of the instrument.
• Moreover, SRON develops the SPEXone data processor, which converts the raw instrument data into calibrated, geo-located measurements of radiance and degree of linear polarization(level 1), and subsequently into aerosol and cloud data products (level 2).
• Before launch, the processor will be tested on simulated data and will be applied to on-ground calibration measurements.
• After launch,in flight monitoring and calibration techniques will be used to test and improve the processor in order to achieve the best possible data products.
• You will continue the development of the level 1 data processor for SPEXone.
• Stray light correction algorithm, geolocation modelling and data resampling are the first processor steps that need to be implemented.
• Interaction with the NASA PACE processing team is part of the job

Profile

• For this interesting and challenging project, we are looking for a scientist with a PhD degree in physics or computational science with strong programming skills (C++ and Python).
• Knowledge about spectrometer stray light, geo-location modelling and image re-sampling techniques, as well as experience in the field of atmospheric remote sensing and modelling spectrometer performance would be strong assets.
• Good knowledge of the English language is essential.
• We expect good verbal and written communication skills.