ENGINEER AI REMOTE SENSING AND GEOSPATIAL RD

This is an opportunity to join one of the most ambitious software product development teams working in Earth Observation in Portugal.
Our mission is to develop scalable software applications for the space downstream market with a focus on sustainability.
From monitoring critical infrastructures to assessing carbon stocks and sequestration potential the opportunities are endless.
The ideal candidate should have at least 3 years of relevant professional experience and the drive to innovate on various aspects of geospatial solutions working with data scientists and data engineers.
Senior Geospatial Engineers and PhDs with relevant research experience are also welcome to apply.
As a member of our Space R&D team you may be asked to.
Prototype build and help deploy AI and remote sensing technology to create earth observation products; Evaluate select and employ advanced statistical and modeling procedures to obtain actionable insights and crossvalidating models to ensure their generalization; Potentially act as Subject Matter Expert (SME) for the product development process; Continuously formulate and suggest improvements to the geospatial components of every product; Plan and develop collaborative research projects or test campaigns that help validate the product; Work with Product Managers to help define and implement and R&D roadmap that boosts product development; Work with the Space Software and Applications teams to handover successfully developed models algorithms or prototypes so that they can be scaled up; Track and leverage innovations described in science papers or from competitor commercial applications; Leverage open source and data resources to develop and implement new solutions and algorithms for specific EO applications; Produce and disseminate technical white papers that detail the successes of the product/projects use cases.
Qualifications.
Master degree in Computer / Data Science or Geospatial Engineering with remote sensing experience (or relevant technical field with similar experience).
PhD is a plus; Experience with GIS software (e.
.
QGIS) and GIS packages (e.
.
GDAL); At least 3 years of practice developing and deploying AI/ML models; Proficiency in Python/R and corresponding AI/ML libraries; Knowledge in unsupervised supervised semisupervised and transferlearning techniques; Capacity to foster a healthy stimulating work environment that frequently harnesses teamwork; Ability to work autonomously cooperate and align with the overall teams objectives.
Candidates with experience in one or more of the following will be highly considered.
Experience with land use land cover mapping Experience with carbon estimation using remote sensing Experience processing forestryrelated earth observation data Experience in developing security or defencerelated earth observation applications Experience in automated groundtruth labelling for earth observation applications SAR InSAR PolSAR data processing Experience with computer vision topics such as image recognition object detection segmentation or pattern recognition.
Additional Information.
100 inoffice Working in a relaxed and positive environment alongside a dynamic multidisciplinary team Health insurance Partnerships with gyms amongst others Until three additional vacation days Birthday off Remote Work.
No Employment Type.
Fulltime